This repo has been archived as of 2024-05-15
Small scripts and other similar NGP solutions
Invocation
perl artic2external.pl
--prefix "test_illumina"
--fastq_directory .github/data/fastqs/
--artic_outdir illumina_test --metadata covidMetadataTemplate.[json|csv]
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Flags prefix, fastq_directory and artic_outdir should match that of GMS-Artic invocation.
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Metadata can be generated using the GMS-uploader.
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Metadata can be provided as either json or csv, determined by the file-suffix.
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Output is written to same output folder as gms-artic, e.g.
{artic_outdir}/UploadStage/{prefix}/[fohm,gisaid] -
Metadata format is defined by the template at:
https://kise.sharepoint.com/teams/GRP_GenomicMedicineSweden/Delade%20dokument/AU%20Mikrobiologi/Bioinformatik/Pipeline%20SARS-CoV-2/covidMetadataTemplate.csv?d=we199e2b9e0bc4a068dbd56e989a4d90b&csf=1&web=1&e=gHdedC -
Output is written to same output folder as gms-artic, e.g.
{artic_outdir}/UploadStage/{prefix}/[fohm,gisaid] -
Output FoHM directory has subdirectories with fastq-files using the name suggested by FOHM (symlinked to the original files), a file with extra information
*komplettering.csvand a file with pangolin-classification*classification_format3.txt. The files have lab-id, region-id and date as prefixes. -
Output GISAID directory has a metadata file
GISAIDsubmission.csv, and a fasta-fileGISAIDsubmission.fastacontaining all consensus-sequences connected to the metadata. The files have lab-id, region-id and date as prefixes.
This script splits a folder of fastqs into multiple smaller folders. This is a quick fix to avoid the concurrency issue of starting GMC-Artic on several thousand samples located in a single directory.
The script will currently only work for the illumina workflow. The nanopore workflow requires a different input.
Simple json to csv conversion script