{ "info": { "author": "Sander Bollen", "author_email": "a.h.b.bollen@lumc.nl", "bugtrack_url": null, "classifiers": [ "Topic :: Scientific/Engineering :: Bio-Informatics" ], "description": "GVCF2BED\n========\n\nThis is a small tool to convert a gVCF file to BED. This is useful for\nextracting regions that pass a certain genotype quality threshold.\n\nInstallation\n------------\n\ngvcf2bed is now available through pypi with: ``pip install gvcf2bed``\n\nRequirements\n------------\n\n- Python 3.4+\n- pyvcf\n- cyvcf2\n\nFor developers\n~~~~~~~~~~~~~~\n\n- pytest\n- pytest-cov\n\nChangelog\n---------\n\n0.3.1\n~~~~~\n\n- Fix a bug for variants where GQ is not defined.\n\n0.3\n~~~\n\n- Use ``cyvcf2`` by default in tool. This results in a speed-up of\n approximately 8-10x. Existing API has not changed, and will still\n work with ``pyvcf``.\n- Add separate filter for non-variants, as GQ scores may have a\n different distribution on non-variant records than on variant\n records.\n\nUsage\n-----\n\n::\n\n usage: gvcf2bed [-h] -I INPUT -O OUTPUT [-s SAMPLE] [-q QUALITY]\n [-nq NON_VARIANT_QUALITY] [-b]\n\n Create a BED file from a gVCF. Regions are based on a minimum genotype\n quality. The gVCF file must contain a GQ field in its FORMAT fields. GQ scores\n of non-variants records have a different distribution from the GQ score\n distribution of variant records. Hence, an option is provided to set a\n different threshold for non-variant positions.\n\n optional arguments:\n -h, --help show this help message and exit\n -I INPUT, --input INPUT\n Input gVCF\n -O OUTPUT, --output OUTPUT\n Output bed file\n -s SAMPLE, --sample SAMPLE\n Sample name in VCF file to use. 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