TY - JOUR T1 - SeqAnt 2.0: Whole-Genome Annotation and Natural-Language Searching in the Cloud JF - bioRxiv DO - 10.1101/146514 SP - 146514 AU - Alex V. Kotlar AU - Cristina E. Trevino AU - Michael E. Zwick AU - David J. Cutler AU - Thomas S. Wingo Y1 - 2017/01/01 UR - http://biorxiv.org/content/early/2017/06/06/146514.abstract N2 - Describing, prioritizing, and selecting alleles from large sequencing experiments remains technically challenging. SeqAnt 2.0 (https://seqant.emory.edu/) is the first web application that make these tasks accessible to non-programmers, even for large data sets consisting of thousands of whole-genome samples. It comprehensively describes alleles using public data (e.g., RefSeq, dbSNP, Clinvar, and others), and introduces a natural-language search engine that can locate the alleles of interest in a user’s experiment in milliseconds. ER -