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Sparse Project VCF: efficient encoding of population genotype matrices.
- Source :
-
Bioinformatics (Oxford, England) [Bioinformatics] 2021 Apr 01; Vol. 36 (22-23), pp. 5537-5538. - Publication Year :
- 2021
-
Abstract
- Summary: Variant Call Format (VCF), the prevailing representation for germline genotypes in population sequencing, suffers rapid size growth as larger cohorts are sequenced and more rare variants are discovered. We present Sparse Project VCF (spVCF), an evolution of VCF with judicious entropy reduction and run-length encoding, delivering >10× size reduction for modern studies with practically minimal information loss. spVCF interoperates with VCF efficiently, including tabix-based random access. We demonstrate its effectiveness with the DiscovEHR and UK Biobank whole-exome sequencing cohorts.<br />Availability and Implementation: Apache-licensed reference implementation: github.com/mlin/spVCF.<br />Supplementary Information: Supplementary data are available at Bioinformatics online.<br /> (© The Author(s) 2020. Published by Oxford University Press.)
- Subjects :
- Base Sequence
Genotype
Germ Cells
Genomics
Software
Subjects
Details
- Language :
- English
- ISSN :
- 1367-4811
- Volume :
- 36
- Issue :
- 22-23
- Database :
- MEDLINE
- Journal :
- Bioinformatics (Oxford, England)
- Publication Type :
- Academic Journal
- Accession number :
- 33300997
- Full Text :
- https://doi.org/10.1093/bioinformatics/btaa1004