Welcome to my repository for the Bioinformatics Specialization course on Coursera! 🚀 This is where I document my journey through the exciting world of bioinformatics, solving algorithmic challenges, and learning cutting-edge techniques in computational biology. Let's dive in! 🧬
- 🧬 Bioinformatics: Decoding the secrets of biological data.
- 🤓 Algorithms: Mastering algorithms tailored for bioinformatics puzzles.
- 🌲 Suffix Tree: Supercharging string matching and genome assembly.
- 🌿 UPGMA (Unweighted Pair Group Method with Arithmetic Mean): Building phylogenetic trees like a pro.
- 📜 Viterbi Algorithm: Cracking dynamic programming in hidden Markov models (HMMs).
- 🐍 Python Programming: Crafting powerful scripts for bioinformatics tasks.
- 🔍 Whole Genome Sequencing: Analyzing and interpreting genome sequencing data.
exercises/: 💡 Algorithm solutions from the course.notes/: 📚 My personal notes on bioinformatics concepts.scripts/: 🛠️ Python tools developed throughout the course.datasets/: 📂 Sample datasets used for exercises and projects.results/: 📝 Output files showcasing analysis results.
- Clone the repository:
git clone https://github.com/Danial-Ghofrani/Bioinformatics_coursera.git cd bioinformatics-specialization - Explore the folders to find exercises, notes, or scripts that interest you. 🕵️♂️
- Run Python scripts by navigating to their directories
- Tweak and experiment with the scripts to truly make the learning experience your own! 💻✨
- 🔢 Implementing algorithms like Needleman-Wunsch, UPGMA, and Burrows-Wheeler Transform.
- 🔗 Understanding biological sequence alignment and assembly.
- 🧠 Gaining insights into computational biology challenges.
- 🐍 Developing Python programs for practical bioinformatics applications.
- 🧑💻 Basic knowledge of programming (preferably Python).
- 🧬 Familiarity with molecular biology concepts.
- 🧩 A love for problem-solving and algorithms.
The following tools and libraries will help you navigate through the exercises:
- Python (3.7+)
- Libraries:
numpy,pandas,matplotlib,biopython
Install the required libraries using:
pip install numpy pandas matplotlib biopython| Course | Status |
|---|---|
| 🧬 Finding Hidden Messages in DNA (Bioinformatics I) | 🔄 In Progress |
| 🧩 Genome Sequencing (Bioinformatics II) | 🕒 Not Started |
| 🔬 Comparing Genes, Proteins, and Genomes (Bioinformatics III) | 🕒 Not Started |
| 🌿 Molecular Evolution (Bioinformatics IV) | 🕒 Not Started |
| 📊 Genomic Data Science and Clustering (Bioinformatics V) | 🕒 Not Started |
| 🧬 Finding Mutations in DNA and Proteins (Bioinformatics VI) | 🕒 Not Started |
| 🧠 Bioinformatics Capstone: Big Data in Biology | 🕒 Not Started |
This repository is my personal learning space, but collaboration makes everything better! 🌟 Feel free to share your ideas or improvements by opening an issue or submitting a pull request. Let's grow together! 💪
🌟 Happy Learning and Coding! 🧬💻✨