Paper Info
Title
SeqAnt: Cloud-Based Whole-Genome Annotation and Search
Abstract
Describing, prioritizing, and selecting alleles from large sequencing experiments remains technically challenging. SeqAnt (https://seqant.emory.edu) is the first online, cloud-based application that makes these tasks accessible for non-programmers, even for terabyte-sized experiments containing thousands of whole-genome samples. It rapidly describes the alleles found within submitted VCF files, and then indexes the results in a natural-language search engine, which enables users to locate alleles of interest in milliseconds using normal English phrases. Our results show that SeqAnt decreases processing time by orders of magnitude and that its search engine can be used to precisely identify alleles by phenotype, genomic structure, and population genetics characteristics.
Year
DOI
Venue
2017
10.1145/3107411.3108231
BCB
Keywords
Field
DocType
Genomics,bioinformatics,big data,search,network architecture
Search engine,Annotation,Genome project,Computer science,Genomics,Population genetics,Bioinformatics,Big data,Cloud computing
Conference
ISBN
Citations 
PageRank 
978-1-4503-4722-8
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Alex V. Kotlar100.68
Cristina E. Trevino200.34
Michael E. Zwick3212.09
David J. Cutler4242.61
Thomas S. Wingo501.01