PT  - JOURNAL ARTICLE
AU  - Alex V. Kotlar
AU  - Cristina E. Trevino
AU  - Michael E. Zwick
AU  - David J. Cutler
AU  - Thomas S. Wingo
TI  - Bystro: Rapid online variant annotation and natural-language filtering at whole-genome scale
AID  - 10.1101/146514
DP  - 2017 Jan 01
TA  - bioRxiv
PG  - 146514
4099  - http://biorxiv.org/content/early/2017/08/09/146514.short
4100  - http://biorxiv.org/content/early/2017/08/09/146514.full
AB  - 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 of interest in milliseconds. The search engine dramatically simplifies complex filtering tasks that previously required programming experience or specialty command-line programs. Critically, Bystro annotation and filtering capabilities are orders of magnitude faster than previous solutions, saving weeks of processing time for large experiments.