viral-ngs
dp-docs
  • 1. Description of the methods
  • 2. Installation
  • 3. Command line tools
    • 3.1. metagenomics.py - metagenomic analyses
    • 3.2. taxon_filter.py - tools for taxonomic removal or filtration of reads
    • 3.3. assembly.py - de novo assembly
    • 3.4. interhost.py - species and population-level genetic variation
    • 3.5. intrahost.py - within-host genetic variation (iSNVs)
    • 3.6. read_utils.py - utilities that manipulate bam and fastq files
    • 3.7. reports.py - produce various metrics and reports
    • 3.8. illumina.py - for raw Illumina outputs
    • 3.9. broad_utils.py - for data generated at the Broad Institute
    • 3.10. ncbi.py - utilities to interact with NCBI
  • 4. Using the WDL pipelines
  • 5. Using the Snakemake pipelines
  • 6. Developing viral-ngs
viral-ngs
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  • 3. Command line tools
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3. Command line toolsΒΆ

  • 3.1. metagenomics.py - metagenomic analyses
  • 3.2. taxon_filter.py - tools for taxonomic removal or filtration of reads
  • 3.3. assembly.py - de novo assembly
  • 3.4. interhost.py - species and population-level genetic variation
  • 3.5. intrahost.py - within-host genetic variation (iSNVs)
  • 3.6. read_utils.py - utilities that manipulate bam and fastq files
  • 3.7. reports.py - produce various metrics and reports
  • 3.8. illumina.py - for raw Illumina outputs
  • 3.9. broad_utils.py - for data generated at the Broad Institute
  • 3.10. ncbi.py - utilities to interact with NCBI
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