sCD14test.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#\n",
    "# This file will run veriable selection on the sCD14 test data\n",
    "# we aim to reproduce results from https://doi.org/10.1038/s41598-021-93645-3\n",
    "from ccm_coda import *\n",
    "import pandas as pd \n",
    "import numpy as np\n",
    "from IPython.display import display"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>x.Otu000039</th>\n",
       "      <th>x.Otu000381</th>\n",
       "      <th>x.Otu000167</th>\n",
       "      <th>x.Otu000309</th>\n",
       "      <th>x.Otu000034</th>\n",
       "      <th>x.Otu000022</th>\n",
       "      <th>x.Otu000017</th>\n",
       "      <th>x.Otu000159</th>\n",
       "      <th>x.Otu000414</th>\n",
       "      <th>...</th>\n",
       "      <th>x.Otu000319</th>\n",
       "      <th>x.Otu000255</th>\n",
       "      <th>x.Otu000453</th>\n",
       "      <th>x.Otu000397</th>\n",
       "      <th>x.Otu000274</th>\n",
       "      <th>x.Otu000113</th>\n",
       "      <th>x.Otu000513</th>\n",
       "      <th>x.Otu000386</th>\n",
       "      <th>x.Otu000726</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Sample_001</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>34</td>\n",
       "      <td>70</td>\n",
       "      <td>73</td>\n",
       "      <td>41</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8052.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Sample_002</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>39</td>\n",
       "      <td>59</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7284.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Sample_003</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>26</td>\n",
       "      <td>159</td>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5932.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sample_004</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>29</td>\n",
       "      <td>58</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>7044.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Sample_005</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>64</td>\n",
       "      <td>27</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4453.99</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 541 columns</p>\n",
       "</div>"
      ],
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       "   Unnamed: 0  x.Otu000039  x.Otu000381  x.Otu000167  x.Otu000309  \\\n",
       "0  Sample_001            1            0            0            3   \n",
       "1  Sample_002           11            0            0            0   \n",
       "2  Sample_003            2            0            2            1   \n",
       "3  Sample_004            3            0            2            0   \n",
       "4  Sample_005            5            7            0            0   \n",
       "\n",
       "   x.Otu000034  x.Otu000022  x.Otu000017  x.Otu000159  x.Otu000414  ...  \\\n",
       "0           34           70           73           41            0  ...   \n",
       "1           10           39           59            3            0  ...   \n",
       "2           26          159           33            0            0  ...   \n",
       "3            8           29           58            4            0  ...   \n",
       "4            7           64           27            5            0  ...   \n",
       "\n",
       "   x.Otu000319  x.Otu000255  x.Otu000453  x.Otu000397  x.Otu000274  \\\n",
       "0            1           12            2            5            1   \n",
       "1            0            0            0            0            3   \n",
       "2            0            0            0            0            9   \n",
       "3            0            2            0            0            0   \n",
       "4            0            0            0            0            0   \n",
       "\n",
       "   x.Otu000113  x.Otu000513  x.Otu000386  x.Otu000726        y  \n",
       "0            0            0            0            0  8052.78  \n",
       "1            0            0            0            0  7284.92  \n",
       "2            0            0            0            0  5932.98  \n",
       "3            0            0            1            2  7044.35  \n",
       "4            0            0            0            0  4453.99  \n",
       "\n",
       "[5 rows x 541 columns]"
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Rank0</th>\n",
       "      <th>Kingdom</th>\n",
       "      <th>Phylum</th>\n",
       "      <th>Class</th>\n",
       "      <th>Order</th>\n",
       "      <th>Family</th>\n",
       "      <th>Genus</th>\n",
       "      <th>OTU</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Otu000039</td>\n",
       "      <td>Life</td>\n",
       "      <td>Life::Bacteria</td>\n",
       "      <td>Life::Bacteria::Firmicutes</td>\n",
       "      <td>Life::Bacteria::Firmicutes::Clostridia</td>\n",
       "      <td>Life::Bacteria::Firmicutes::Clostridia::Clostr...</td>\n",
       "      <td>Life::Bacteria::Firmicutes::Clostridia::Clostr...</td>\n",
       "      <td>Life::Bacteria::Firmicutes::Clostridia::Clostr...</td>\n",
       "      <td>Life::Bacteria::Firmicutes::Clostridia::Clostr...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Otu000381</td>\n",
       "      <td>Life</td>\n",
       "      <td>Life::Bacteria</td>\n",
       "      <td>Life::Bacteria::Firmicutes</td>\n",
       "      <td>Life::Bacteria::Firmicutes::Clostridia</td>\n",
       "      <td>Life::Bacteria::Firmicutes::Clostridia::Clostr...</td>\n",
       "      <td>Life::Bacteria::Firmicutes::Clostridia::Clostr...</td>\n",
       "      <td>Life::Bacteria::Firmicutes::Clostridia::Clostr...</td>\n",
       "      <td>Life::Bacteria::Firmicutes::Clostridia::Clostr...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Otu000167</td>\n",
       "      <td>Life</td>\n",
       "      <td>Life::Bacteria</td>\n",
       "      <td>Life::Bacteria::Firmicutes</td>\n",
       "      <td>Life::Bacteria::Firmicutes::Clostridia</td>\n",
       "      <td>Life::Bacteria::Firmicutes::Clostridia::Clostr...</td>\n",
       "      <td>Life::Bacteria::Firmicutes::Clostridia::Clostr...</td>\n",
       "      <td>Life::Bacteria::Firmicutes::Clostridia::Clostr...</td>\n",
       "      <td>Life::Bacteria::Firmicutes::Clostridia::Clostr...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Otu000159</td>\n",
       "      <td>Life</td>\n",
       "      <td>Life::Bacteria</td>\n",
       "      <td>Life::Bacteria::Firmicutes</td>\n",
       "      <td>Life::Bacteria::Firmicutes::Clostridia</td>\n",
       "      <td>Life::Bacteria::Firmicutes::Clostridia::Clostr...</td>\n",
       "      <td>Life::Bacteria::Firmicutes::Clostridia::Clostr...</td>\n",
       "      <td>Life::Bacteria::Firmicutes::Clostridia::Clostr...</td>\n",
       "      <td>Life::Bacteria::Firmicutes::Clostridia::Clostr...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Otu000414</td>\n",
       "      <td>Life</td>\n",
       "      <td>Life::Bacteria</td>\n",
       "      <td>Life::Bacteria::Firmicutes</td>\n",
       "      <td>Life::Bacteria::Firmicutes::Clostridia</td>\n",
       "      <td>Life::Bacteria::Firmicutes::Clostridia::Clostr...</td>\n",
       "      <td>Life::Bacteria::Firmicutes::Clostridia::Clostr...</td>\n",
       "      <td>Life::Bacteria::Firmicutes::Clostridia::Clostr...</td>\n",
       "      <td>Life::Bacteria::Firmicutes::Clostridia::Clostr...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "  Unnamed: 0 Rank0         Kingdom                      Phylum  \\\n",
       "0  Otu000039  Life  Life::Bacteria  Life::Bacteria::Firmicutes   \n",
       "1  Otu000381  Life  Life::Bacteria  Life::Bacteria::Firmicutes   \n",
       "2  Otu000167  Life  Life::Bacteria  Life::Bacteria::Firmicutes   \n",
       "3  Otu000159  Life  Life::Bacteria  Life::Bacteria::Firmicutes   \n",
       "4  Otu000414  Life  Life::Bacteria  Life::Bacteria::Firmicutes   \n",
       "\n",
       "                                    Class  \\\n",
       "0  Life::Bacteria::Firmicutes::Clostridia   \n",
       "1  Life::Bacteria::Firmicutes::Clostridia   \n",
       "2  Life::Bacteria::Firmicutes::Clostridia   \n",
       "3  Life::Bacteria::Firmicutes::Clostridia   \n",
       "4  Life::Bacteria::Firmicutes::Clostridia   \n",
       "\n",
       "                                               Order  \\\n",
       "0  Life::Bacteria::Firmicutes::Clostridia::Clostr...   \n",
       "1  Life::Bacteria::Firmicutes::Clostridia::Clostr...   \n",
       "2  Life::Bacteria::Firmicutes::Clostridia::Clostr...   \n",
       "3  Life::Bacteria::Firmicutes::Clostridia::Clostr...   \n",
       "4  Life::Bacteria::Firmicutes::Clostridia::Clostr...   \n",
       "\n",
       "                                              Family  \\\n",
       "0  Life::Bacteria::Firmicutes::Clostridia::Clostr...   \n",
       "1  Life::Bacteria::Firmicutes::Clostridia::Clostr...   \n",
       "2  Life::Bacteria::Firmicutes::Clostridia::Clostr...   \n",
       "3  Life::Bacteria::Firmicutes::Clostridia::Clostr...   \n",
       "4  Life::Bacteria::Firmicutes::Clostridia::Clostr...   \n",
       "\n",
       "                                               Genus  \\\n",
       "0  Life::Bacteria::Firmicutes::Clostridia::Clostr...   \n",
       "1  Life::Bacteria::Firmicutes::Clostridia::Clostr...   \n",
       "2  Life::Bacteria::Firmicutes::Clostridia::Clostr...   \n",
       "3  Life::Bacteria::Firmicutes::Clostridia::Clostr...   \n",
       "4  Life::Bacteria::Firmicutes::Clostridia::Clostr...   \n",
       "\n",
       "                                                 OTU  \n",
       "0  Life::Bacteria::Firmicutes::Clostridia::Clostr...  \n",
       "1  Life::Bacteria::Firmicutes::Clostridia::Clostr...  \n",
       "2  Life::Bacteria::Firmicutes::Clostridia::Clostr...  \n",
       "3  Life::Bacteria::Firmicutes::Clostridia::Clostr...  \n",
       "4  Life::Bacteria::Firmicutes::Clostridia::Clostr...  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Load data\n",
    "df = pd.read_csv('datasets/sCD14_output_xy.csv')\n",
    "#Taxa sheet to relate OTUs to bacteria\n",
    "taxa = pd.read_csv('datasets/taxa.csv')\n",
    "display(df.head())\n",
    "display(taxa.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here is cleaning up the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#The columns name is undefined by default so rename it\n",
    "df.rename(columns={'Unnamed: 0': 'Sample ID'}, inplace=True)\n",
    "taxa.rename(columns={'Unnamed: 0': 'otuID'}, inplace=True)\n",
    "#Split into predictors and response\n",
    "X = df.drop(columns=['y', 'Sample ID'])\n",
    "Y = df['y']\n",
    "\n",
    "def extract_numeric(col):\n",
    "    if 'Otu' in col:\n",
    "        return int(col.split('Otu')[-1])\n",
    "    else:\n",
    "        print(col + \" does not contain OTU\")\n",
    "\n",
    "\n",
    "otu_names = [\n",
    "    extract_numeric(col)\n",
    "    for col in X.columns\n",
    "]\n",
    "\n",
    "#By default the coloumns are like \"Otu0034, Otu0072, Otu001\"\n",
    "#so I'll sort them from lowest to largest by the integers \n",
    "#after Otu. Removing this does not change the weights being stuck.\n",
    "sorted_columns = sorted(X.columns, key=extract_numeric)\n",
    "X = X[sorted_columns]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It's interesting to know how much of our datas was zeros, so we show that here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The data is 67.89% zeros\n"
     ]
    }
   ],
   "source": [
    "zeros_count = (X==0).sum().sum()\n",
    "zeros_percentage = 100*zeros_count/X.size\n",
    "\n",
    "print(f'The data is {zeros_percentage:.2f}% zeros')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now turn the count matrix into matrix of compositions and center the Ys "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape of y: (152,)\n",
      "Shape of X: (152, 539)\n",
      "All of the rows sum to 1? True\n"
     ]
    },
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>x.Otu000001</th>\n",
       "      <th>x.Otu000002</th>\n",
       "      <th>x.Otu000003</th>\n",
       "      <th>x.Otu000004</th>\n",
       "      <th>x.Otu000005</th>\n",
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       "      <th>x.Otu000010</th>\n",
       "      <th>...</th>\n",
       "      <th>x.Otu000673</th>\n",
       "      <th>x.Otu000680</th>\n",
       "      <th>x.Otu000687</th>\n",
       "      <th>x.Otu000688</th>\n",
       "      <th>x.Otu000691</th>\n",
       "      <th>x.Otu000693</th>\n",
       "      <th>x.Otu000722</th>\n",
       "      <th>x.Otu000726</th>\n",
       "      <th>x.Otu000788</th>\n",
       "      <th>x.Otu000826</th>\n",
       "    </tr>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.010120</td>\n",
       "      <td>0.045175</td>\n",
       "      <td>0.133470</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003227</td>\n",
       "      <td>0.015694</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.049575</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000147</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.001175</td>\n",
       "      <td>0.053003</td>\n",
       "      <td>0.009008</td>\n",
       "      <td>0.048564</td>\n",
       "      <td>0.004961</td>\n",
       "      <td>0.066710</td>\n",
       "      <td>0.225196</td>\n",
       "      <td>0.097911</td>\n",
       "      <td>0.009530</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.316771</td>\n",
       "      <td>0.076966</td>\n",
       "      <td>0.053027</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003619</td>\n",
       "      <td>0.011969</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.008490</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000139</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000139</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.203856</td>\n",
       "      <td>0.140841</td>\n",
       "      <td>0.000419</td>\n",
       "      <td>0.034651</td>\n",
       "      <td>0.018583</td>\n",
       "      <td>0.000699</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000559</td>\n",
       "      <td>0.000140</td>\n",
       "      <td>0.011318</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000279</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000279</td>\n",
       "      <td>0.000140</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.144250</td>\n",
       "      <td>0.030255</td>\n",
       "      <td>0.001147</td>\n",
       "      <td>0.044738</td>\n",
       "      <td>0.003728</td>\n",
       "      <td>0.000860</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006309</td>\n",
       "      <td>0.000430</td>\n",
       "      <td>0.011615</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.031689</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 539 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   x.Otu000001  x.Otu000002  x.Otu000003  x.Otu000004  x.Otu000005  \\\n",
       "0     0.010120     0.045175     0.133470     0.000000     0.003227   \n",
       "1     0.001175     0.053003     0.009008     0.048564     0.004961   \n",
       "2     0.316771     0.076966     0.053027     0.000000     0.003619   \n",
       "3     0.203856     0.140841     0.000419     0.034651     0.018583   \n",
       "4     0.144250     0.030255     0.001147     0.044738     0.003728   \n",
       "\n",
       "   x.Otu000006  x.Otu000007  x.Otu000008  x.Otu000009  x.Otu000010  ...  \\\n",
       "0     0.015694     0.000000     0.000000     0.049575     0.000000  ...   \n",
       "1     0.066710     0.225196     0.097911     0.009530     0.000000  ...   \n",
       "2     0.011969     0.000000     0.000000     0.008490     0.000000  ...   \n",
       "3     0.000699     0.000000     0.000559     0.000140     0.011318  ...   \n",
       "4     0.000860     0.000000     0.006309     0.000430     0.011615  ...   \n",
       "\n",
       "   x.Otu000673  x.Otu000680  x.Otu000687  x.Otu000688  x.Otu000691  \\\n",
       "0          0.0     0.000000     0.000147     0.000000     0.000000   \n",
       "1          0.0     0.000000     0.000000     0.000000     0.000000   \n",
       "2          0.0     0.000139     0.000000     0.000000     0.000000   \n",
       "3          0.0     0.000000     0.000000     0.000000     0.000279   \n",
       "4          0.0     0.000000     0.000000     0.031689     0.000000   \n",
       "\n",
       "   x.Otu000693  x.Otu000722  x.Otu000726  x.Otu000788  x.Otu000826  \n",
       "0          0.0          0.0     0.000000     0.000000          0.0  \n",
       "1          0.0          0.0     0.000000     0.000000          0.0  \n",
       "2          0.0          0.0     0.000000     0.000139          0.0  \n",
       "3          0.0          0.0     0.000279     0.000140          0.0  \n",
       "4          0.0          0.0     0.000000     0.000000          0.0  \n",
       "\n",
       "[5 rows x 539 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "0     499.081382\n",
       "1    -268.778618\n",
       "2   -1620.718618\n",
       "3    -509.348618\n",
       "4   -3099.708618\n",
       "Name: y, dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "row_sums = X.sum(axis=1)\n",
    "X_ratios = X.div(row_sums, axis=0)\n",
    "centered_Y = Y - Y.mean()\n",
    "print(f'Shape of y: {centered_Y.shape}')\n",
    "print(f'Shape of X: {X_ratios.shape}')\n",
    "#I am checking if all the rows sum to one in a wierd way.\n",
    "#Sum the rows into a new column. Minus this column by one,\n",
    "#then sum every entry in the column. If the rows all sum to \n",
    "#one, this sum will be zero, but due to floating point errors\n",
    "#will be some small number.\n",
    "row_sums = X_ratios.sum(axis=1)\n",
    "sum_of_row_sums = (row_sums - 1).sum()\n",
    "print(f'All of the rows sum to 1? {sum_of_row_sums <1e-10}')\n",
    "display(X_ratios.head())\n",
    "display(centered_Y.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Convert everything to numpy arrays for processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1.01202699e-02, 4.51745380e-02, 1.33470226e-01, ...,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
       "       [1.17493473e-03, 5.30026110e-02, 9.00783290e-03, ...,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
       "       [3.16771051e-01, 7.69659012e-02, 5.30271399e-02, ...,\n",
       "        0.00000000e+00, 1.39178845e-04, 0.00000000e+00],\n",
       "       ...,\n",
       "       [1.11853088e-01, 6.51085142e-02, 7.86158749e-02, ...,\n",
       "        0.00000000e+00, 0.00000000e+00, 1.97298528e-03],\n",
       "       [2.36641221e-01, 3.81679389e-02, 0.00000000e+00, ...,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
       "       [1.62841530e-01, 1.11612022e-01, 2.73224044e-04, ...,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Here we prepare the data to be processed\n",
    "np_X_ratios = X_ratios.to_numpy()\n",
    "np_centered_Y = centered_Y.to_numpy()\n",
    "\n",
    "display(np_X_ratios)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1.11022302e-15 4.44089210e-16 0.00000000e+00 2.66453526e-15\n",
      " 1.44328993e-15 8.88178420e-16 6.66133815e-16 3.33066907e-16\n",
      " 5.55111512e-16 4.44089210e-16 3.33066907e-16 1.11022302e-16\n",
      " 1.55431223e-15 1.55431223e-15 3.33066907e-16 2.88657986e-15\n",
      " 1.44328993e-15 4.44089210e-16 1.33226763e-15 1.11022302e-15\n",
      " 6.66133815e-16 8.88178420e-16 1.33226763e-15 8.88178420e-16\n",
      " 1.22124533e-15 6.66133815e-16 2.10942375e-15 3.33066907e-16\n",
      " 1.55431223e-15 4.44089210e-16 2.22044605e-15 1.22124533e-15\n",
      " 6.66133815e-16 4.44089210e-16 1.66533454e-15 2.22044605e-16\n",
      " 3.33066907e-16 2.22044605e-15 1.11022302e-15 1.11022302e-15\n",
      " 6.66133815e-16 2.22044605e-16 1.55431223e-15 0.00000000e+00\n",
      " 1.33226763e-15 8.88178420e-16 1.44328993e-15 7.77156117e-16\n",
      " 7.77156117e-16 1.55431223e-15 8.88178420e-16 8.88178420e-16\n",
      " 2.22044605e-15 2.22044605e-16 2.22044605e-16 4.44089210e-16\n",
      " 1.55431223e-15 4.44089210e-16 1.33226763e-15 1.33226763e-15\n",
      " 4.44089210e-16 4.44089210e-16 7.77156117e-16 1.55431223e-15\n",
      " 1.55431223e-15 1.33226763e-15 2.44249065e-15 3.33066907e-15\n",
      " 1.99840144e-15 3.44169138e-15 2.22044605e-16 8.88178420e-16\n",
      " 2.10942375e-15 1.77635684e-15 2.33146835e-15 0.00000000e+00\n",
      " 7.77156117e-16 3.33066907e-16 2.22044605e-15 2.66453526e-15\n",
      " 5.55111512e-16 3.10862447e-15 8.88178420e-16 5.55111512e-16\n",
      " 1.11022302e-15 1.11022302e-15 1.33226763e-15 3.77475828e-15\n",
      " 1.55431223e-15 1.77635684e-15 9.99200722e-16 2.44249065e-15\n",
      " 1.11022302e-16 4.44089210e-16 2.22044605e-15 1.44328993e-15\n",
      " 1.44328993e-15 1.88737914e-15 1.44328993e-15 6.66133815e-16\n",
      " 6.66133815e-16 2.33146835e-15 6.66133815e-16 1.77635684e-15\n",
      " 8.88178420e-16 0.00000000e+00 4.44089210e-16 1.33226763e-15\n",
      " 1.22124533e-15 1.77635684e-15 4.44089210e-16 3.33066907e-16\n",
      " 3.10862447e-15 3.33066907e-16 1.77635684e-15 5.10702591e-15\n",
      " 1.33226763e-15 4.44089210e-16 1.77635684e-15 1.77635684e-15\n",
      " 1.55431223e-15 8.88178420e-16 2.44249065e-15 8.88178420e-16\n",
      " 2.33146835e-15 4.44089210e-16 3.33066907e-16 6.66133815e-16\n",
      " 6.66133815e-16 2.66453526e-15 3.10862447e-15 2.22044605e-15\n",
      " 9.99200722e-16 1.33226763e-15 1.11022302e-16 2.22044605e-16\n",
      " 2.88657986e-15 2.22044605e-16 8.88178420e-16 6.66133815e-16\n",
      " 2.44249065e-15 5.55111512e-16 2.22044605e-16 3.33066907e-16\n",
      " 6.66133815e-16 3.10862447e-15 1.55431223e-15 2.22044605e-15\n",
      " 0.00000000e+00 1.77635684e-15 5.55111512e-16 1.66533454e-15]\n"
     ]
    }
   ],
   "source": [
    "print(np.abs(np_X_ratios.sum(axis=1) - 1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "iteration 100 loss 773713860.0\n",
      "weights:\n",
      "[0.         0.05590063 0.         0.         0.         0.\n",
      " 0.         0.         0.05590063 0.         0.05590063 0.05590063\n",
      " 0.         0.05590063 0.05590063 0.05590063 0.         0.\n",
      " 0.         0.         0.         0.         0.         0.05590063\n",
      " 0.         0.05590063 0.         0.05590063 0.         0.\n",
      " 0.         0.05590063 0.05590063 0.05590063 0.05590063 0.05590063\n",
      " 0.05590063 0.         0.         0.         0.05590063 0.05590063\n",
      " 0.         0.         0.05590063 0.05590063 0.         0.05590063\n",
      " 0.         0.05590063 0.05590063 0.         0.05590063 0.05590063\n",
      " 0.         0.05590063 0.         0.         0.         0.05590063\n",
      " 0.05590063 0.         0.         0.05590063 0.         0.05590063\n",
      " 0.05590063 0.05590063 0.         0.         0.         0.05590063\n",
      " 0.         0.         0.05590063 0.05590063 0.05590063 0.\n",
      " 0.         0.         0.         0.05590063 0.         0.\n",
      " 0.         0.         0.05590063 0.         0.05590063 0.05590063\n",
      " 0.05590063 0.05590063 0.         0.         0.05590063 0.05590063\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.05590063 0.         0.         0.05590063 0.05590063 0.05590063\n",
      " 0.         0.05590063 0.         0.         0.         0.\n",
      " 0.05590063 0.05590063 0.         0.         0.         0.05590063\n",
      " 0.         0.         0.05590063 0.05590063 0.         0.05590063\n",
      " 0.05590063 0.         0.         0.         0.05590063 0.05590063\n",
      " 0.05590063 0.         0.         0.         0.05590063 0.05590063\n",
      " 0.05590063 0.05590063 0.         0.05590063 0.         0.\n",
      " 0.         0.05590063 0.         0.05590063 0.         0.\n",
      " 0.         0.         0.         0.05590063 0.05590063 0.\n",
      " 0.         0.         0.         0.         0.05590063 0.05590063\n",
      " 0.05590063 0.         0.         0.05590063 0.         0.\n",
      " 0.05590063 0.         0.05590063 0.05590063 0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.05590063 0.         0.         0.         0.05590063 0.05590063\n",
      " 0.         0.         0.05590063 0.05590063 0.05590063 0.\n",
      " 0.         0.         0.         0.05590063 0.05590063 0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.05590063 0.05590063 0.         0.05590063\n",
      " 0.         0.         0.05590063 0.         0.         0.\n",
      " 0.05590063 0.         0.         0.         0.         0.05590063\n",
      " 0.05590063 0.         0.05590063 0.         0.         0.05590063\n",
      " 0.         0.         0.05590063 0.05590063 0.05590063 0.\n",
      " 0.05590063 0.05590063 0.         0.05590063 0.         0.\n",
      " 0.05590063 0.         0.05590063 0.05590063 0.05590063 0.\n",
      " 0.         0.05590063 0.         0.         0.         0.\n",
      " 0.05590063 0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.05590063 0.         0.05590063 0.         0.         0.\n",
      " 0.05590063 0.         0.         0.05590063 0.         0.\n",
      " 0.         0.         0.         0.         0.05590063 0.05590063\n",
      " 0.05590063 0.05590063 0.         0.         0.         0.\n",
      " 0.         0.05590063 0.         0.         0.05590063 0.\n",
      " 0.05590063 0.05590063 0.         0.         0.         0.\n",
      " 0.         0.         0.         0.05590063 0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.05590063 0.         0.         0.\n",
      " 0.         0.         0.05590063 0.         0.         0.\n",
      " 0.         0.05590063 0.         0.         0.         0.\n",
      " 0.         0.05590063 0.05590063 0.         0.05590063 0.\n",
      " 0.05590063 0.         0.         0.         0.         0.\n",
      " 0.         0.         0.05590063 0.         0.         0.\n",
      " 0.05590063 0.05590063 0.         0.05590063 0.         0.05590063\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.05590063 0.         0.         0.\n",
      " 0.         0.05590063 0.         0.         0.         0.\n",
      " 0.         0.05590063 0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.05590063 0.\n",
      " 0.05590063 0.         0.         0.         0.         0.\n",
      " 0.05590063 0.         0.         0.         0.         0.05590063\n",
      " 0.05590063 0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.         0.05590063\n",
      " 0.         0.         0.         0.         0.05590063 0.\n",
      " 0.         0.         0.         0.05590063 0.         0.\n",
      " 0.         0.05590063 0.05590063 0.         0.         0.\n",
      " 0.         0.05590063 0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.05590063 0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.05590063 0.         0.         0.         0.05590063\n",
      " 0.         0.         0.         0.05590063 0.         0.05590063\n",
      " 0.         0.         0.05590063 0.         0.05590063 0.\n",
      " 0.05590063 0.         0.05590063 0.         0.05590063 0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.05590063 0.05590063 0.         0.         0.         0.05590063\n",
      " 0.         0.         0.05590063 0.         0.05590063 0.\n",
      " 0.         0.         0.         0.05590063 0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.05590063 0.         0.         0.         0.05590063 0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.        ]\n",
      "\n",
      "iteration 200 loss 773713860.0\n",
      "weights:\n",
      "[0.         0.05590063 0.         0.         0.         0.\n",
      " 0.         0.         0.05590063 0.         0.05590063 0.05590063\n",
      " 0.         0.05590063 0.05590063 0.05590063 0.         0.\n",
      " 0.         0.         0.         0.         0.         0.05590063\n",
      " 0.         0.05590063 0.         0.05590063 0.         0.\n",
      " 0.         0.05590063 0.05590063 0.05590063 0.05590063 0.05590063\n",
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      " 0.         0.         0.05590063 0.05590063 0.         0.05590063\n",
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      "\n",
      "iteration 300 loss 773713860.0\n",
      "weights:\n",
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      " 0.         0.         0.05590063 0.         0.05590063 0.05590063\n",
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      "\n",
      "iteration 400 loss 773713860.0\n",
      "weights:\n",
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      " 0.         0.         0.05590063 0.         0.05590063 0.05590063\n",
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      "\n",
      "iteration 500 loss 773713860.0\n",
      "weights:\n",
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      " 0.         0.         0.05590063 0.         0.05590063 0.05590063\n",
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      "\n",
      "iteration 600 loss 773713860.0\n",
      "weights:\n",
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      " 0.         0.         0.05590063 0.         0.05590063 0.05590063\n",
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      "\n",
      "iteration 700 loss 773713860.0\n",
      "weights:\n",
      "[0.         0.05590063 0.         0.         0.         0.\n",
      " 0.         0.         0.05590063 0.         0.05590063 0.05590063\n",
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      "\n",
      "iteration 800 loss 773713860.0\n",
      "weights:\n",
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      " 0.         0.         0.05590063 0.         0.05590063 0.05590063\n",
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      "\n",
      "iteration 900 loss 773713860.0\n",
      "weights:\n",
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      "\n",
      "iteration 1000 loss 773713860.0\n",
      "weights:\n",
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      " 0.         0.         0.05590063 0.         0.05590063 0.05590063\n",
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      "\n",
      "iteration 1100 loss 773713860.0\n",
      "weights:\n",
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      "\n",
      "iteration 1200 loss 773713860.0\n",
      "weights:\n",
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      "\n",
      "iteration 1300 loss 773713860.0\n",
      "weights:\n",
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      "\n",
      "iteration 1400 loss 773713860.0\n",
      "weights:\n",
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      "\n",
      "iteration 1500 loss 773713860.0\n",
      "weights:\n",
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      "\n",
      "iteration 1600 loss 773713860.0\n",
      "weights:\n",
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      " 0.         0.         0.05590063 0.         0.05590063 0.05590063\n",
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      "\n",
      "iteration 1700 loss 773713860.0\n",
      "weights:\n",
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      "\n",
      "iteration 1800 loss 773713860.0\n",
      "weights:\n",
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      "\n",
      "iteration 1900 loss 773713860.0\n",
      "weights:\n",
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      " 0.         0.         0.05590063 0.         0.05590063 0.05590063\n",
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      "\n",
      "iteration 2000 loss 773713860.0\n",
      "weights:\n",
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      " 0.         0.         0.05590063 0.         0.05590063 0.05590063\n",
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      " 0.05590063 0.         0.05590063 0.         0.         0.\n",
      " 0.05590063 0.         0.         0.05590063 0.         0.\n",
      " 0.         0.         0.         0.         0.05590063 0.05590063\n",
      " 0.05590063 0.05590063 0.         0.         0.         0.\n",
      " 0.         0.05590063 0.         0.         0.05590063 0.\n",
      " 0.05590063 0.05590063 0.         0.         0.         0.\n",
      " 0.         0.         0.         0.05590063 0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.05590063 0.         0.         0.\n",
      " 0.         0.         0.05590063 0.         0.         0.\n",
      " 0.         0.05590063 0.         0.         0.         0.\n",
      " 0.         0.05590063 0.05590063 0.         0.05590063 0.\n",
      " 0.05590063 0.         0.         0.         0.         0.\n",
      " 0.         0.         0.05590063 0.         0.         0.\n",
      " 0.05590063 0.05590063 0.         0.05590063 0.         0.05590063\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.05590063 0.         0.         0.\n",
      " 0.         0.05590063 0.         0.         0.         0.\n",
      " 0.         0.05590063 0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.05590063 0.\n",
      " 0.05590063 0.         0.         0.         0.         0.\n",
      " 0.05590063 0.         0.         0.         0.         0.05590063\n",
      " 0.05590063 0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.         0.05590063\n",
      " 0.         0.         0.         0.         0.05590063 0.\n",
      " 0.         0.         0.         0.05590063 0.         0.\n",
      " 0.         0.05590063 0.05590063 0.         0.         0.\n",
      " 0.         0.05590063 0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.05590063 0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.05590063 0.         0.         0.         0.05590063\n",
      " 0.         0.         0.         0.05590063 0.         0.05590063\n",
      " 0.         0.         0.05590063 0.         0.05590063 0.\n",
      " 0.05590063 0.         0.05590063 0.         0.05590063 0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.05590063 0.05590063 0.         0.         0.         0.05590063\n",
      " 0.         0.         0.05590063 0.         0.05590063 0.\n",
      " 0.         0.         0.         0.05590063 0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.05590063 0.         0.         0.         0.05590063 0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.        ]\n",
      "\n",
      "Train finished\n"
     ]
    }
   ],
   "source": [
    "# Perform variable selection\n",
    "# learning rate is chosen to exhibit convergence of loss clearly.\n",
    "dimension_of_projection = 9 #How many variables to select\n",
    "#convert data to numpy for feeding into ccm\n",
    "rank, w = ccm(\n",
    "    np_X_ratios, \n",
    "    np_centered_Y, \n",
    "    num_features=dimension_of_projection, \n",
    "    type_Y=\"real-valued\", \n",
    "    kernel='gaussian',\n",
    "    epsilon=0.01,\n",
    "    learning_rate=1e-5, \n",
    "    iterations=2000\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.         0.05590063 0.         0.         0.         0.\n",
      " 0.         0.         0.05590063 0.         0.05590063 0.05590063\n",
      " 0.         0.05590063 0.05590063 0.05590063 0.         0.\n",
      " 0.         0.         0.         0.         0.         0.05590063\n",
      " 0.         0.05590063 0.         0.05590063 0.         0.\n",
      " 0.         0.05590063 0.05590063 0.05590063 0.05590063 0.05590063\n",
      " 0.05590063 0.         0.         0.         0.05590063 0.05590063\n",
      " 0.         0.         0.05590063 0.05590063 0.         0.05590063\n",
      " 0.         0.05590063 0.05590063 0.         0.05590063 0.05590063\n",
      " 0.         0.05590063 0.         0.         0.         0.05590063\n",
      " 0.05590063 0.         0.         0.05590063 0.         0.05590063\n",
      " 0.05590063 0.05590063 0.         0.         0.         0.05590063\n",
      " 0.         0.         0.05590063 0.05590063 0.05590063 0.\n",
      " 0.         0.         0.         0.05590063 0.         0.\n",
      " 0.         0.         0.05590063 0.         0.05590063 0.05590063\n",
      " 0.05590063 0.05590063 0.         0.         0.05590063 0.05590063\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.05590063 0.         0.         0.05590063 0.05590063 0.05590063\n",
      " 0.         0.05590063 0.         0.         0.         0.\n",
      " 0.05590063 0.05590063 0.         0.         0.         0.05590063\n",
      " 0.         0.         0.05590063 0.05590063 0.         0.05590063\n",
      " 0.05590063 0.         0.         0.         0.05590063 0.05590063\n",
      " 0.05590063 0.         0.         0.         0.05590063 0.05590063\n",
      " 0.05590063 0.05590063 0.         0.05590063 0.         0.\n",
      " 0.         0.05590063 0.         0.05590063 0.         0.\n",
      " 0.         0.         0.         0.05590063 0.05590063 0.\n",
      " 0.         0.         0.         0.         0.05590063 0.05590063\n",
      " 0.05590063 0.         0.         0.05590063 0.         0.\n",
      " 0.05590063 0.         0.05590063 0.05590063 0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.05590063 0.         0.         0.         0.05590063 0.05590063\n",
      " 0.         0.         0.05590063 0.05590063 0.05590063 0.\n",
      " 0.         0.         0.         0.05590063 0.05590063 0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.05590063 0.05590063 0.         0.05590063\n",
      " 0.         0.         0.05590063 0.         0.         0.\n",
      " 0.05590063 0.         0.         0.         0.         0.05590063\n",
      " 0.05590063 0.         0.05590063 0.         0.         0.05590063\n",
      " 0.         0.         0.05590063 0.05590063 0.05590063 0.\n",
      " 0.05590063 0.05590063 0.         0.05590063 0.         0.\n",
      " 0.05590063 0.         0.05590063 0.05590063 0.05590063 0.\n",
      " 0.         0.05590063 0.         0.         0.         0.\n",
      " 0.05590063 0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.05590063 0.         0.05590063 0.         0.         0.\n",
      " 0.05590063 0.         0.         0.05590063 0.         0.\n",
      " 0.         0.         0.         0.         0.05590063 0.05590063\n",
      " 0.05590063 0.05590063 0.         0.         0.         0.\n",
      " 0.         0.05590063 0.         0.         0.05590063 0.\n",
      " 0.05590063 0.05590063 0.         0.         0.         0.\n",
      " 0.         0.         0.         0.05590063 0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.05590063 0.         0.         0.\n",
      " 0.         0.         0.05590063 0.         0.         0.\n",
      " 0.         0.05590063 0.         0.         0.         0.\n",
      " 0.         0.05590063 0.05590063 0.         0.05590063 0.\n",
      " 0.05590063 0.         0.         0.         0.         0.\n",
      " 0.         0.         0.05590063 0.         0.         0.\n",
      " 0.05590063 0.05590063 0.         0.05590063 0.         0.05590063\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.05590063 0.         0.         0.\n",
      " 0.         0.05590063 0.         0.         0.         0.\n",
      " 0.         0.05590063 0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.05590063 0.\n",
      " 0.05590063 0.         0.         0.         0.         0.\n",
      " 0.05590063 0.         0.         0.         0.         0.05590063\n",
      " 0.05590063 0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.         0.05590063\n",
      " 0.         0.         0.         0.         0.05590063 0.\n",
      " 0.         0.         0.         0.05590063 0.         0.\n",
      " 0.         0.05590063 0.05590063 0.         0.         0.\n",
      " 0.         0.05590063 0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.05590063 0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.05590063 0.         0.         0.         0.05590063\n",
      " 0.         0.         0.         0.05590063 0.         0.05590063\n",
      " 0.         0.         0.05590063 0.         0.05590063 0.\n",
      " 0.05590063 0.         0.05590063 0.         0.05590063 0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.05590063 0.05590063 0.         0.         0.         0.05590063\n",
      " 0.         0.         0.05590063 0.         0.05590063 0.\n",
      " 0.         0.         0.         0.05590063 0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.05590063 0.         0.         0.         0.05590063 0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.        ]\n",
      "(539,)\n"
     ]
    }
   ],
   "source": [
    "print(w)\n",
    "print(w.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Get the variables selected by ccm: these are the ones with the heights weight\n",
    "#NOTE there is something wrong where so many of the weights are 1. This isn't \n",
    "#right, so this section is basically selected whatever depending on how \n",
    "#np.sort decides to sort numbers which are the same\n",
    "selected_variables =  np.sort(np.argsort(rank)[:dimension_of_projection])\n",
    "#Get the names for the otus which were selected\n",
    "selected_OTUs = [\n",
    "    otu.split('.')[1]\n",
    "    for otu in X.columns[selected_variables]\n",
    "]\n",
    "#Get only the rows of the taxa df which correspond to our \n",
    "#selected otus, then put them in a numpy array for printing\n",
    "selected_taxa_df = taxa[taxa['otuID'].isin(selected_OTUs)]\n",
    "OTU_tags = selected_taxa_df['OTU'].to_numpy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Selected Variables/OTUs (max 9)\n",
      "Weight 0.055900633335113525: taxa: Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__17::Otu000332\n",
      "Weight 0.055900633335113525: taxa: Life::Bacteria::Proteobacteria::Alphaproteobacteria::Rhodospirillales::Rhodospirillaceae::Thalassospira::Otu000278\n",
      "Weight 0.055900633335113525: taxa: Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella::Otu000141\n",
      "Weight 0.055900633335113525: taxa: Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Rikenellaceae::RC9_gut_group::Otu000220\n",
      "Weight 0.055900633335113525: taxa: Life::Bacteria::Firmicutes::Erysipelotrichia::Erysipelotrichales::Erysipelotrichaceae::Turicibacter::Otu000191\n",
      "Weight 0.055900633335113525: taxa: Life::Bacteria::Cyanobacteria::Melainabacteria::Gastranaerophilales::f__26::g__104::Otu000372\n",
      "Weight 0.055900633335113525: taxa: Life::Bacteria::Spirochaetae::Spirochaetes::Spirochaetales::Spirochaetaceae::Treponema::Otu000125\n",
      "Weight 0.055900633335113525: taxa: Life::Bacteria::Proteobacteria::Betaproteobacteria::Burkholderiales::f__32::g__111::Otu000370\n",
      "Weight 0.055900633335113525: taxa: Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__133::Otu000067\n"
     ]
    }
   ],
   "source": [
    "print(f'Selected Variables/OTUs (max {dimension_of_projection})')\n",
    "for taxa_name, weight in zip(OTU_tags, w[selected_variables]):\n",
    "    print(f'Weight {weight}: taxa: {taxa_name}')\n"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Taxa selected by log-sparse mode\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "   /-Root\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__1\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__2\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Blautia\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Coprococcus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Coprococcus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__3\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Coprococcus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__4\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Lachnospira\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Lachnospira\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::vadinBB60::g__5\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::vadinBB60::g__6\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::vadinBB60::g__7\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::vadinBB60::g__8\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::vadinBB60::g__9\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::vadinBB60::g__10\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::vadinBB60::g__11\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Coprococcus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Lachnospira\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Defluviitaleaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__12\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__13\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__14\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__15\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__16\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Anaerostipes\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__17\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Anaerostipes\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__18\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__19\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__20\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__21\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__22\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__23\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__24\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Blautia\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__25\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Marvinbryantia\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Marvinbryantia\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__26\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__27\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__28\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__29\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Anaerotruncus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Anaerotruncus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__30\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::f__1::g__31\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__32\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__33\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__34\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__35\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__36\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__37\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::p__1::c__1::o__1::f__2::g__38\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::vadinBB60::g__39\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::f__3::g__40\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Christensenellaceae::g__41\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Christensenellaceae::g__42\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Christensenellaceae::g__43\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Christensenellaceae::g__44\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Christensenellaceae::g__45\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Christensenellaceae::g__46\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Christensenellaceae::g__47\n",
      "  |\n",
      "  |--Life::Bacteria::p__2::c__2::o__2::f__4::g__48\n",
      "  |\n",
      "  |--Life::Bacteria::Proteobacteria::Deltaproteobacteria::Desulfovibrionales::Desulfovibrionaceae::Desulfovibrio\n",
      "  |\n",
      "  |--Life::Bacteria::Proteobacteria::Deltaproteobacteria::Desulfovibrionales::Desulfovibrionaceae::Desulfovibrio\n",
      "  |\n",
      "  |--Life::Bacteria::Proteobacteria::Deltaproteobacteria::Desulfovibrionales::Desulfovibrionaceae::Desulfovibrio\n",
      "  |\n",
      "  |--Life::Bacteria::Proteobacteria::Deltaproteobacteria::Desulfovibrionales::Desulfovibrionaceae::g__49\n",
      "  |\n",
      "  |--Life::Bacteria::Proteobacteria::Deltaproteobacteria::Desulfovibrionales::Desulfovibrionaceae::Bilophila\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__50\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Howardella\n",
      "  |\n",
      "  |--Life::Bacteria::p__3::c__3::o__3::f__5::g__51\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__52\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Butyrivibrio\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Oribacterium\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Roseburia\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__53\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__54\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__55\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__56\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__57\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Dorea\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__58\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Coprococcus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Coprococcus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Roseburia\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Roseburia\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Pseudobutyrivibrio\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__59\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__60\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Roseburia\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Roseburia\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__61\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__62\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__63\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__64\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Blautia\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Blautia\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Blautia\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__65\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::f__6::g__66\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Defluviitaleaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Defluviitaleaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Defluviitaleaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Defluviitaleaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Defluviitaleaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Ruminococcus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::f__7::g__67\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__68\n",
      "  |\n",
      "  |--Life::Bacteria::Proteobacteria::Alphaproteobacteria::Rhodospirillales::Rhodospirillaceae::Thalassospira\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::vadinBB60::g__69\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::vadinBB60::g__70\n",
      "  |\n",
      "  |--Life::Bacteria::Lentisphaerae::Lentisphaeria::Victivallales::Victivallaceae::Victivallis\n",
      "  |\n",
      "  |--Life::Bacteria::Lentisphaerae::Oligosphaeria::Oligosphaerales::Oligosphaeraceae::g__71\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::f__8::g__72\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::f__9::g__73\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Alloprevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Alloprevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Alloprevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Alloprevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Alloprevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Alloprevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Alloprevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Alloprevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Alloprevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Alloprevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Alloprevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Alloprevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Alloprevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Alloprevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Bacteroidaceae::Bacteroides\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Bacteroidaceae::Bacteroides\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Bacteroidaceae::Bacteroides\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Bacteroidaceae::Bacteroides\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Bacteroidaceae::Bacteroides\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Bacteroidaceae::Bacteroides\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Bacteroidaceae::Bacteroides\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Bacteroidaceae::Bacteroides\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Bacteroidaceae::Bacteroides\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Bacteroidaceae::Bacteroides\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Bacteroidaceae::Bacteroides\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Bacteroidaceae::Bacteroides\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Porphyromonadaceae::Parabacteroides\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Porphyromonadaceae::Parabacteroides\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Porphyromonadaceae::Parabacteroides\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Porphyromonadaceae::Parabacteroides\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Porphyromonadaceae::Barnesiella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Porphyromonadaceae::Barnesiella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Porphyromonadaceae::Parabacteroides\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Porphyromonadaceae::Parabacteroides\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Bacteroidaceae::Bacteroides\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Bacteroidaceae::Bacteroides\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Bacteroidaceae::Bacteroides\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Bacteroidaceae::Bacteroides\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Bacteroidaceae::Bacteroides\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Paraprevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Bacteroidaceae::Bacteroides\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Bacteroidaceae::Bacteroides\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Porphyromonadaceae::Barnesiella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Porphyromonadaceae::Barnesiella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::S24-7::g__74\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Rikenellaceae::RC9_gut_group\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::f__10::g__75\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Rikenellaceae::RC9_gut_group\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Rikenellaceae::RC9_gut_group\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::f__11::g__76\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Rikenellaceae::RC9_gut_group\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Rikenellaceae::RC9_gut_group\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Rikenellaceae::RC9_gut_group\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Rikenellaceae::RC9_gut_group\n",
      "  |\n",
      "  |--Life::Bacteria::p__4::c__4::o__4::f__12::g__77\n",
      "  |\n",
      "  |--Life::Bacteria::Tenericutes::Mollicutes::NB1-n::f__13::g__78\n",
      "  |\n",
      "  |--Life::Bacteria::Tenericutes::Mollicutes::o__5::f__14::g__79\n",
      "  |\n",
      "  |--Life::Bacteria::Tenericutes::Mollicutes::RF96::f__15::g__80\n",
      "  |\n",
      "  |--Life::Bacteria::Tenericutes::Mollicutes::RF97::f__16::g__81\n",
      "  |\n",
      "  |--Life::Bacteria::p__5::c__5::o__8::f__17::g__82\n",
      "  |\n",
      "  |--Life::Bacteria::p__6::c__6::o__9::f__18::g__83\n",
      "  |\n",
      "  |--Life::Bacteria::p__7::c__7::o__10::f__19::g__84\n",
      "  |\n",
      "  |--Life::Bacteria::p__8::c__8::o__11::f__20::g__85\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Erysipelotrichia::Erysipelotrichales::Erysipelotrichaceae::Catenibacterium\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Erysipelotrichia::Erysipelotrichales::Erysipelotrichaceae::Catenibacterium\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Erysipelotrichia::Erysipelotrichales::Erysipelotrichaceae::g__86\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Erysipelotrichia::Erysipelotrichales::Erysipelotrichaceae::Holdemania\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Erysipelotrichia::Erysipelotrichales::Erysipelotrichaceae::Solobacterium\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Erysipelotrichia::Erysipelotrichales::Erysipelotrichaceae::Solobacterium\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Erysipelotrichia::Erysipelotrichales::Erysipelotrichaceae::Holdemania\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Erysipelotrichia::Erysipelotrichales::Erysipelotrichaceae::g__87\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Erysipelotrichia::Erysipelotrichales::Erysipelotrichaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Erysipelotrichia::Erysipelotrichales::Erysipelotrichaceae::Incertae_Sedis\n",
      "--|\n",
      "  |--Life::Bacteria::Firmicutes::Bacilli::Lactobacillales::Enterococcaceae::Enterococcus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Bacilli::Lactobacillales::Carnobacteriaceae::Granulicatella\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Bacilli::Lactobacillales::Lactobacillaceae::Lactobacillus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Bacilli::Lactobacillales::Streptococcaceae::Streptococcus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Bacilli::Lactobacillales::Streptococcaceae::Streptococcus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Erysipelotrichia::Erysipelotrichales::Erysipelotrichaceae::Turicibacter\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Negativicutes::Selenomonadales::Acidaminococcaceae::Acidaminococcus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Negativicutes::Selenomonadales::Acidaminococcaceae::Acidaminococcus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Negativicutes::Selenomonadales::Acidaminococcaceae::Phascolarctobacterium\n",
      "  |\n",
      "  |--Life::Bacteria::Actinobacteria::Coriobacteriia::Coriobacteriales::Coriobacteriaceae::g__88\n",
      "  |\n",
      "  |--Life::Bacteria::Actinobacteria::Coriobacteriia::Coriobacteriales::Coriobacteriaceae::Collinsella\n",
      "  |\n",
      "  |--Life::Bacteria::Actinobacteria::Coriobacteriia::Coriobacteriales::Coriobacteriaceae::g__89\n",
      "  |\n",
      "  |--Life::Bacteria::Actinobacteria::Coriobacteriia::Coriobacteriales::Coriobacteriaceae::Olsenella\n",
      "  |\n",
      "  |--Life::Bacteria::Actinobacteria::Coriobacteriia::Coriobacteriales::Coriobacteriaceae::Enterorhabdus\n",
      "  |\n",
      "  |--Life::Bacteria::Actinobacteria::Coriobacteriia::Coriobacteriales::Coriobacteriaceae::g__90\n",
      "  |\n",
      "  |--Life::Bacteria::Actinobacteria::Coriobacteriia::Coriobacteriales::Coriobacteriaceae::Slackia\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Negativicutes::Selenomonadales::Veillonellaceae::Anaerovibrio\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Negativicutes::Selenomonadales::Veillonellaceae::Megasphaera\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Negativicutes::Selenomonadales::Veillonellaceae::Megasphaera\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Negativicutes::Selenomonadales::Veillonellaceae::Allisonella\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Negativicutes::Selenomonadales::Veillonellaceae::Dialister\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Negativicutes::Selenomonadales::Veillonellaceae::Dialister\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Negativicutes::Selenomonadales::Veillonellaceae::Veillonella\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Negativicutes::Selenomonadales::Veillonellaceae::Veillonella\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Negativicutes::Selenomonadales::Veillonellaceae::Mitsuokella\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Negativicutes::Selenomonadales::Veillonellaceae::Mitsuokella\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Peptococcaceae::Dehalobacterium\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Peptostreptococcaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Peptostreptococcaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Family_XIII::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Family_XIII::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Family_XIII::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Family_XIII::Mogibacterium\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Family_XIII::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Family_XIII::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Family_XIII::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Family_XIII::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::f__21::g__91\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Family_XIII::g__92\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Peptococcaceae::Peptococcus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Clostridiaceae_1::Clostridium_sensu_stricto_1\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Clostridiaceae_1::Clostridium_sensu_stricto_1\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Clostridiaceae_1::Clostridium_sensu_stricto_1\n",
      "  |\n",
      "  |--Life::Bacteria::p__9::c__9::o__12::f__22::g__93\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Christensenellaceae::g__94\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Christensenellaceae::g__95\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Thermoanaerobacterales::Thermoanaerobacteraceae::Gelria\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Christensenellaceae::Christensenella\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Christensenellaceae::Christensenella\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Christensenellaceae::Christensenella\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Christensenellaceae::g__96\n",
      "  |\n",
      "  |--Life::Bacteria::p__10::c__10::o__13::f__23::g__97\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::vadinBB60::g__98\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::vadinBB60::g__99\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Oscillibacter\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Oscillibacter\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::vadinBB60::g__100\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::vadinBB60::g__101\n",
      "  |\n",
      "  |--Life::Archaea::Euryarchaeota::Thermoplasmata::Thermoplasmatales::Thermoplasmatales_Incertae_Sedis::Candidatus_Methanomethylophilus\n",
      "  |\n",
      "  |--Life::Archaea::Euryarchaeota::Methanobacteria::Methanobacteriales::Methanobacteriaceae::Methanobrevibacter\n",
      "  |\n",
      "  |--Life::Archaea::Euryarchaeota::Methanobacteria::Methanobacteriales::Methanobacteriaceae::Methanosphaera\n",
      "  |\n",
      "  |--Life::Bacteria::Verrucomicrobia::Verrucomicrobiae::Verrucomicrobiales::Verrucomicrobiaceae::Akkermansia\n",
      "  |\n",
      "  |--Life::Bacteria::Cyanobacteria::Melainabacteria::Gastranaerophilales::f__24::g__102\n",
      "  |\n",
      "  |--Life::Bacteria::Cyanobacteria::Melainabacteria::Gastranaerophilales::f__25::g__103\n",
      "  |\n",
      "  |--Life::Bacteria::Cyanobacteria::Melainabacteria::Gastranaerophilales::f__26::g__104\n",
      "  |\n",
      "  |--Life::Bacteria::Cyanobacteria::Melainabacteria::Gastranaerophilales::f__27::g__105\n",
      "  |\n",
      "  |--Life::Bacteria::Cyanobacteria::Melainabacteria::Gastranaerophilales::f__28::g__106\n",
      "  |\n",
      "  |--Life::Bacteria::Fusobacteria::Fusobacteriia::Fusobacteriales::Fusobacteriaceae::Fusobacterium\n",
      "  |\n",
      "  |--Life::Bacteria::Lentisphaerae::Lentisphaeria::Victivallales::Victivallaceae::Victivallis\n",
      "  |\n",
      "  |--Life::Bacteria::Lentisphaerae::Lentisphaeria::Victivallales::Victivallaceae::Victivallis\n",
      "  |\n",
      "  |--Life::Bacteria::Lentisphaerae::Lentisphaeria::Victivallales::Victivallaceae::Victivallis\n",
      "  |\n",
      "  |--Life::Bacteria::Lentisphaerae::Lentisphaeria::Victivallales::Victivallaceae::Victivallis\n",
      "  |\n",
      "  |--Life::Bacteria::Spirochaetae::Spirochaetes::Spirochaetales::Brachyspiraceae::Brachyspira\n",
      "  |\n",
      "  |--Life::Bacteria::Spirochaetae::Spirochaetes::Spirochaetales::Brachyspiraceae::Brachyspira\n",
      "  |\n",
      "  |--Life::Bacteria::Spirochaetae::Spirochaetes::Spirochaetales::Spirochaetaceae::Treponema\n",
      "  |\n",
      "  |--Life::Bacteria::Actinobacteria::Actinobacteria::Bifidobacteriales::Bifidobacteriaceae::Bifidobacterium\n",
      "  |\n",
      "  |--Life::Bacteria::Actinobacteria::Actinobacteria::Bifidobacteriales::Bifidobacteriaceae::Bifidobacterium\n",
      "  |\n",
      "  |--Life::Bacteria::Actinobacteria::Actinobacteria::Bifidobacteriales::Bifidobacteriaceae::Bifidobacterium\n",
      "  |\n",
      "  |--Life::Bacteria::Actinobacteria::Actinobacteria::Bifidobacteriales::Bifidobacteriaceae::Bifidobacterium\n",
      "  |\n",
      "  |--Life::Bacteria::Proteobacteria::Gammaproteobacteria::Aeromonadales::Succinivibrionaceae::Succinivibrio\n",
      "  |\n",
      "  |--Life::Bacteria::Proteobacteria::Gammaproteobacteria::Aeromonadales::Succinivibrionaceae::Succinivibrio\n",
      "  |\n",
      "  |--Life::Bacteria::p__11::c__11::o__14::f__29::g__107\n",
      "  |\n",
      "  |--Life::Bacteria::Proteobacteria::c__12::o__15::f__30::g__108\n",
      "  |\n",
      "  |--Life::Bacteria::Proteobacteria::Alphaproteobacteria::o__16::f__31::g__109\n",
      "  |\n",
      "  |--Life::Bacteria::Proteobacteria::Alphaproteobacteria::Rhodospirillales::Rhodospirillaceae::Thalassospira\n",
      "  |\n",
      "  |--Life::Bacteria::Proteobacteria::Alphaproteobacteria::Rhodospirillales::Rhodospirillaceae::Thalassospira\n",
      "  |\n",
      "  |--Life::Bacteria::Proteobacteria::Alphaproteobacteria::Rhodospirillales::Rhodospirillaceae::Thalassospira\n",
      "  |\n",
      "  |--Life::Bacteria::Proteobacteria::Gammaproteobacteria::Enterobacteriales::Enterobacteriaceae::Escherichia-Shigella\n",
      "  |\n",
      "  |--Life::Bacteria::Proteobacteria::Gammaproteobacteria::Enterobacteriales::Enterobacteriaceae::g__110\n",
      "  |\n",
      "  |--Life::Bacteria::Proteobacteria::Gammaproteobacteria::Pasteurellales::Pasteurellaceae::Haemophilus\n",
      "  |\n",
      "  |--Life::Bacteria::Proteobacteria::Betaproteobacteria::Burkholderiales::Alcaligenaceae::Sutterella\n",
      "  |\n",
      "  |--Life::Bacteria::Proteobacteria::Betaproteobacteria::Burkholderiales::Alcaligenaceae::Sutterella\n",
      "  |\n",
      "  |--Life::Bacteria::Proteobacteria::Betaproteobacteria::Burkholderiales::Alcaligenaceae::Sutterella\n",
      "  |\n",
      "  |--Life::Bacteria::Proteobacteria::Betaproteobacteria::Burkholderiales::Alcaligenaceae::Parasutterella\n",
      "  |\n",
      "  |--Life::Bacteria::Proteobacteria::Betaproteobacteria::Burkholderiales::Oxalobacteraceae::Oxalobacter\n",
      "  |\n",
      "  |--Life::Bacteria::Proteobacteria::Betaproteobacteria::Burkholderiales::Alcaligenaceae::Sutterella\n",
      "  |\n",
      "  |--Life::Bacteria::Proteobacteria::Betaproteobacteria::Burkholderiales::f__32::g__111\n",
      "  |\n",
      "  |--Life::Bacteria::Proteobacteria::Betaproteobacteria::Burkholderiales::Alcaligenaceae::Sutterella\n",
      "  |\n",
      "  |--Life::Bacteria::Proteobacteria::Betaproteobacteria::Burkholderiales::Alcaligenaceae::Sutterella\n",
      "  |\n",
      "  |--Life::Bacteria::Lentisphaerae::RFP12_gut_group::o__17::f__33::g__112\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Rikenellaceae::g__113\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Porphyromonadaceae::Butyricimonas\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Porphyromonadaceae::Butyricimonas\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Porphyromonadaceae::Butyricimonas\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Porphyromonadaceae::Butyricimonas\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Porphyromonadaceae::Butyricimonas\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Porphyromonadaceae::Butyricimonas\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Porphyromonadaceae::Odoribacter\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Porphyromonadaceae::Odoribacter\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Rikenellaceae::Alistipes\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Rikenellaceae::Alistipes\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Rikenellaceae::Alistipes\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Rikenellaceae::Alistipes\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Rikenellaceae::Alistipes\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Rikenellaceae::Alistipes\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Rikenellaceae::Alistipes\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Rikenellaceae::Alistipes\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Rikenellaceae::Alistipes\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Rikenellaceae::Alistipes\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::f__34::g__114\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::f__35::g__115\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::S24-7::g__116\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::f__36::g__117\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::f__37::g__118\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Porphyromonadaceae::g__119\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Porphyromonadaceae::Coprobacter\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::Prevotellaceae::Prevotella\n",
      "  |\n",
      "  |--Life::Bacteria::Bacteroidetes::Bacteroidia::Bacteroidales::f__38::g__120\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Intestinimonas\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Intestinimonas\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__121\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__122\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Flavonifractor\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Flavonifractor\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Intestinimonas\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__123\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Intestinimonas\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__124\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__125\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__126\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__127\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__128\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__129\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__130\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Oscillospira\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__131\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Oscillospira\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Oscillospira\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Oscillibacter\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Oscillospira\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__132\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__133\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Sporobacter\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Sporobacter\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Sporobacter\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__134\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__135\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Sporobacter\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__136\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__137\n",
      "  |\n",
      "  |--Life::Bacteria::Proteobacteria::Alphaproteobacteria::o__18::f__39::g__138\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__139\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Papillibacter\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__140\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__141\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__142\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__143\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__144\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__145\n",
      "  |\n",
      "  |--Life::Bacteria::p__12::c__13::o__19::f__40::g__146\n",
      "  |\n",
      "  |--Life::Bacteria::p__13::c__14::o__20::f__41::g__147\n",
      "  |\n",
      "  |--Life::Bacteria::p__14::c__15::o__21::f__42::g__148\n",
      "  |\n",
      "  |--Life::Bacteria::p__15::c__16::o__22::f__43::g__149\n",
      "  |\n",
      "  |--Life::Bacteria::p__16::c__17::o__23::f__44::g__150\n",
      "  |\n",
      "  |--Life::Bacteria::p__17::c__18::o__24::f__45::g__151\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::f__46::g__152\n",
      "  |\n",
      "  |--Life::Bacteria::p__18::c__19::o__25::f__47::g__153\n",
      "  |\n",
      "  |--Life::Bacteria::p__19::c__20::o__26::f__48::g__154\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::o__27::f__49::g__155\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::f__50::g__156\n",
      "  |\n",
      "  |--Life::Bacteria::p__20::c__21::o__28::f__51::g__157\n",
      "  |\n",
      "  |--Life::Bacteria::p__21::c__22::o__29::f__52::g__158\n",
      "  |\n",
      "  |--Life::Bacteria::p__22::c__23::o__30::f__53::g__159\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__160\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Ruminococcus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Ruminococcus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Anaerotruncus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Anaerotruncus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__161\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Anaerotruncus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Anaerotruncus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Anaerotruncus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__162\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Anaerotruncus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Anaerotruncus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Anaerotruncus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Anaerotruncus\n",
      "  |\n",
      "  |--Life::Bacteria::p__23::c__24::o__31::f__54::g__163\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::f__55::g__164\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::f__56::g__165\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__166\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Ruminococcus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__167\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__168\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::f__57::g__169\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::f__58::g__170\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::c__25::o__32::f__59::g__171\n",
      "  |\n",
      "  |--Life::Bacteria::p__24::c__26::o__33::f__60::g__172\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__173\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::f__61::g__174\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::f__62::g__175\n",
      "  |\n",
      "  |--Life::Bacteria::p__25::c__27::o__34::f__63::g__176\n",
      "  |\n",
      "  |--Life::Bacteria::p__26::c__28::o__35::f__64::g__177\n",
      "  |\n",
      "  |--Life::Bacteria::p__27::c__29::o__36::f__65::g__178\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::c__30::o__37::f__66::g__179\n",
      "  |\n",
      "  |--Life::Bacteria::p__28::c__31::o__38::f__67::g__180\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Ruminococcus\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__181\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Subdoligranulum\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__182\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__183\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Anaerofilum\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__184\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__185\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Faecalibacterium\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Faecalibacterium\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Subdoligranulum\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Elusimicrobia::Elusimicrobia::Elusimicrobiales::Elusimicrobiaceae::Elusimicrobium\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__186\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::f__68::g__187\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::g__188\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::f__69::g__189\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Ruminococcaceae::Incertae_Sedis\n",
      "  |\n",
      "  |--Life::Bacteria::Verrucomicrobia::Opitutae::o__39::f__70::g__190\n",
      "  |\n",
      "  |--Life::Bacteria::Verrucomicrobia::Opitutae::o__40::f__71::g__191\n",
      "  |\n",
      "  |--Life::Bacteria::Tenericutes::Mollicutes::Anaeroplasmatales::Anaeroplasmataceae::Anaeroplasma\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Negativicutes::Selenomonadales::Acidaminococcaceae::Phascolarctobacterium\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__192\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Dorea\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__193\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__194\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__195\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__196\n",
      "  |\n",
      "  |--Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::Incertae_Sedis\n",
      "  |\n",
      "   \\-Life::Bacteria::Firmicutes::Clostridia::Clostridiales::Lachnospiraceae::g__197\n"
     ]
    }
   ],
   "source": [
    "#This doesn't work at the moment\n",
    "'''\n",
    "from ete3 import Tree, TreeStyle\n",
    "\n",
    "def create_tree(taxa):\n",
    "    # Create a root node\n",
    "    root = Tree(\"(Root);\")  # Root node\n",
    "\n",
    "    # Iterate through each row in the DataFrame to build the tree\n",
    "    for _, row in taxa.iterrows():\n",
    "        # Construct the path from the taxonomy levels\n",
    "        path = f\"{row['Genus']}\"\n",
    "        \n",
    "        # Add the node to the tree\n",
    "        root.add_child(name=path)\n",
    "    \n",
    "    return root\n",
    "\n",
    "# Create the tree\n",
    "taxa_tree = create_tree(taxa)\n",
    "\n",
    "# Print the tree\n",
    "print(taxa_tree)\n",
    "\n",
    "# Optional: Visualize the tree\n",
    "ts = TreeStyle()\n",
    "ts.show_leaf_name = True\n",
    "taxa_tree.show(tree_style=ts)\n",
    "'''\n"
   ]
  }
 ],
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    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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