Provided by: pyvcf_0.6.8+git20170215.476169c-1build1_all bug


       vcf_filter - Filter a VCF file


       vcf_filter  [-h]  [--no-short-circuit]  [--no-filtered]  [--output OUTPUT] [--local-script
       LOCAL_SCRIPT] input filter [filter_args] [filter [filter_args]] ...


       This script is part of PyVCF.


   positional arguments:
       input  File to process (use - for STDIN) (default: None)

   optional arguments:
       -h, --help
              Show this help message and exit. (default: False)

              Do not stop filter processing on a site if any filter is triggered (default: False)

       --output OUTPUT
              Filename to output [STDOUT] (default: <_io.TextIOWrapper  name='<stdout>'  mode='w'

              Output only sites passing the filters (default: False)

       --local-script LOCAL_SCRIPT
              Python file in current working directory with the filter classes (default: None)

              Filters  sites  with  only low quality variants. It is possible to have a high site
              quality with many low quality calls. This filter demands at least one call be above
              a threshold quality.

       --genotype-quality GENOTYPE_QUALITY
              Filter sites with no genotypes above this quality (default: 50)

              Choose only SNP variants

              Threshold read depth per sample

       --depth-per-sample DEPTH_PER_SAMPLE
              Minimum required coverage in each sample (default: 5)

              Threshold average read depth per sample (read_depth / sample_count)

       --avg-depth-per-sample AVG_DEPTH_PER_SAMPLE
              Minimum required average coverage per sample (default: 3)

              Filter   sites  that  look  like  correlated  sequencing  errors.  Some  sequencing
              technologies, notably pyrosequencing, produce mutation hotspots where  there  is  a
              constant level of noise, producing some reference and some heterozygote calls. This
              filter computes a Bayes Factor for each site by comparing the  binomial  likelihood
              of  the  observed  allelic depths under: * A model with constant error equal to the
              MAF. * A model where each sample is the ploidy reported by  the  caller.  The  test
              value  is  the log of the bayes factor. Higher values are more likely to be errors.
              Note: this filter requires rpy2

       --eblr EBLR
              Filter sites above this error log odds ratio (default: -10)

              Filter low quailty sites

       --site-quality SITE_QUALITY
              Filter sites below this quality (default: 30)