v0.1.9

• new command slivar ddc: https://github.com/brentp/slivar/wiki/data-driven-cutoffs
• fix for slivar compound-hets reporting orphaned variants in some cases (thanks Steve Boyden for reporting)
• update to htslib >= 1.10
• change recommended setup for rare disease to use family-based approach, rather than trios as it is more
  flexible and now well-tested. (https://github.com/brentp/slivar/wiki/rare-disease#full-analysis-for-trios-with-unaffected-parents)
• add VCF object available in javascript which gets populated with VCF.CSQ == ["CONSEQUENCE", "CODONS","AMINO_ACIDS", "GENE", ...] and VCF.ANN, VCF.BCSQ if any
  or all of those annotations are available in the VCF (see #3)

Installation

Just grab the binary
You can download it and use it without any other software. This is the recommended binary.
wget, chmod +x and start analyzing.
users can also use slivar via docker at brentp/slivar:v0.1.9

gnotate annotation files

the gnotation files for fast annotation remain unchanged except for the addition of topmed.
Users can create their own gnotation files with slivar make-gnotate, but we provide:

• gnomad for hg37 with AF popmax, numhomalts (total and controls only) here

• gnomad for hg38 with AF popmax, numhomalts (updated in release v0.1.2) here

• gnomad genomes (71,702 samples) for hg38 with AF popmax, numhomalts (updated in release v0.1.8) here

• spliceai scores (maximum value of the 4 scores in spliceai) here

• topmed allele frequencies (via dbsnp) these can be used with INFO.topmed_af. Useful when analyzing data in hg38 because some variants in hg38 are not visible in GRCh37