viral-ngs
  • 1. Description of the methods
    • 1.1. Viral genome analysis
    • 1.2. Taxonomic read filtration
    • 1.3. Taxonomic read identification
  • 2. Installation
    • 2.1. System dependencies
    • 2.2. Python dependencies
    • 2.3. Tool dependencies
  • 3. Command line tools
    • 3.1. taxon_filter.py - tools for taxonomic removal or filtration of reads
    • 3.2. assembly.py - de novo assembly
    • 3.3. interhost.py - species and population-level genetic variation
    • 3.4. intrahost.py - within-host genetic variation (iSNVs)
    • 3.5. read_utils.py - utilities that manipulate bam and fastq files
    • 3.6. reports.py - produce various metrics and reports
    • 3.7. broad_utils.py - for data generated at the Broad Institute
  • 4. Using the Snakemake pipelines
    • 4.1. Setting up an analysis directory
    • 4.2. Configuring for your compute platform
    • 4.3. Assembly of pre-filtered reads
    • 4.4. Taxonomic filtration of raw reads
    • 4.5. Starting from Illumina BCL directories
 
viral-ngs
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  • 3. Command line tools
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3. Command line toolsΒΆ

  • 3.1. taxon_filter.py - tools for taxonomic removal or filtration of reads
  • 3.2. assembly.py - de novo assembly
  • 3.3. interhost.py - species and population-level genetic variation
  • 3.4. intrahost.py - within-host genetic variation (iSNVs)
  • 3.5. read_utils.py - utilities that manipulate bam and fastq files
  • 3.6. reports.py - produce various metrics and reports
  • 3.7. broad_utils.py - for data generated at the Broad Institute
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