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

Author:
Kotlar, Alex V., Trevino, Cristina E., Zwick, Michael E., Cutler, David J., Wingo, Thomas S.
Source:
Genome biology 2018 v.19 no.1 pp. 14
ISSN:
1474-760X
Subject:
alleles, computer analysis, computer software, molecular genetics
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.
Agid:
5898226