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Genome Biol. 2018 Feb 6;19(1):14. doi: 10.1186/s13059-018-1387-3.

Bystro: rapid online variant annotation and natural-language filtering at whole-genome scale.

Author information

1
Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA.
2
Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA. thomas.wingo@emory.edu.
3
Division of Neurology, Atlanta VA Medical Center, Atlanta, GA, USA. thomas.wingo@emory.edu.
4
Department of Neurology, Emory University School of Medicine, 505K Whitehead Building, 615 Michael Street NE, Atlanta, GA, 30322-1047, USA. thomas.wingo@emory.edu.

Abstract

Accurately selecting relevant alleles in large sequencing experiments remains technically challenging. Bystro ( https://bystro.io/ ) is the first online, cloud-based application that makes variant annotation and filtering accessible to all researchers for terabyte-sized whole-genome experiments containing thousands of samples. Its key innovation is a general-purpose, natural-language search engine that enables users to identify and export alleles and samples of interest in milliseconds. The search engine dramatically simplifies complex filtering tasks that previously required programming experience or specialty command-line programs. Critically, Bystro's annotation and filtering capabilities are orders of magnitude faster than previous solutions, saving weeks of processing time for large experiments.

KEYWORDS:

Annotation; Big data; Bioinformatics; Cloud; Filtering; Genomics; Natural-language search; Online; Web

PMID:
29409527
PMCID:
PMC5801807
DOI:
10.1186/s13059-018-1387-3
[Indexed for MEDLINE]
Free PMC Article

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