BGT: Efficient and flexible genotype query across many samples

Bioinformatics

Volumn 32, Issue 4, 2016, Pages 590-592

  Li, Heng ^a  

^a BROAD INSTITUTE OF MIT AND HARVARD   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; FACTUAL DATABASE; GENETIC VARIATION; GENETICS; GENOTYPE; HAPLOTYPE; HUMAN; HUMAN GENOME; INFORMATION PROCESSING; SOFTWARE;

ALGORITHMS; DATABASES, FACTUAL; DATASETS AS TOPIC; GENETIC VARIATION; GENOME, HUMAN; GENOTYPE; HAPLOTYPES; HUMANS; SOFTWARE;

EID: 84959878351     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btv613     Document Type: Article

References (5)

1. 1000 Genomes Project Consortium. (2012) An integrated map of genetic variation from 1 092 human genomes. Nature, 491, 56-65.
2. Danecek, P. et al. (2011) The variant call format and VCFtools. Bioinformatics, 27, 2156-2158.
3. Durbin, R. (2014) Efficient haplotype matching and storage using the positional Burrows-Wheeler transform (PBWT). Bioinformatics, 30, 1266-1272.
4. Layer, R. M. et al. (2015) Efficient compression and analysis of large genetic variation datasets. bioRxiv, dx. doi. org/10. 1101/018259.
5. Stade, B. et al. (2014) GrabBlur - A framework to facilitate the secure exchange of whole-exome and-genome SNV data using VCF files. BMC Genomics, 15 (Suppl. 4), S8.