SeqAnt 2.0: Whole-Genome Annotation and Natural-Language Searching in the Cloud

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 user9s experiment in milliseconds.