VCF filtering about dysgu HOT 4 CLOSED

dysgu filter --help
Usage: dysgu filter [OPTIONS] INPUT_VCF [NORMAL_BAMS]...

  Filter a vcf generated by dysgu. Unique SVs can be found in the input_vcf by
  supplying a --normal-vcf (single or multi-sample), and normal bam files.
  Bam/vcf samples with the same name as the input_vcf will be ignored

Options:
  --reference PATH              Reference for cram input files
  -o, --svs-out PATH            Output file, [default: stdout]
  -n, --normal-vcf PATH         Vcf file for normal sample, or panel of
                                normals. The SM tag of input bams is used to
                                ignore the input_vcf for multi-sample vcfs
  -p, --procs INTEGER RANGE     Reading threads for normal_bams  [default: 1;
                                1<=x<=8]
  -f, --support-fraction FLOAT  Minimum threshold support fraction / coverage
                                (SU/COV)  [default: 0.1]
  --target-sample TEXT          If input_vcf if multi-sample, use target-
                                sample as input
  --keep-all                    All SVs classified as normal will be kept in
                                the output, labelled as filter=normal
  --ignore-read-groups          Ignore ReadGroup RG tags when parsing sample
                                names. Filenames will be used instead
  --min-prob FLOAT              Remove SVs with PROB value < min-prob
                                [default: 0.1]
  --pass-prob FLOAT             Re-label SVs as PASS if PROB value >= pass-
                                prob  [default: 1.0]
  --interval-size INTEGER       Interval size for searching normal-vcf/normal-
                                bams  [default: 1000]
  --random-bam-sample INTEGER   Choose N random normal-bams to search. Use -1
                                to ignore  [default: -1]
  --help                        Show this message and exit.