EPIC-CoGe: Managing and analyzing genomic data

Andrew D.L. Nelson, Asher K. Haug-Baltzell, Sean Davey, Brian D. Gregory, Eric Lyons

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Summary: The EPIC-CoGe browser is a web-based genome visualization utility that integrates the GMOD JBrowse genome browser with the extensive CoGe genome database (currently containing over 30 000 genomes). In addition, the EPIC-CoGe browser boasts many additional features over basic JBrowse, including enhanced search capability and on-the-fly analyses for comparisons and analyses between all types of functional and diversity genomics data. There is no installation required and data (genome, annotation, functional genomic and diversity data) can be loaded by following a simple point and click wizard, or using a REST API, making the browser widely accessible and easy to use by researchers of all computational skill levels. In addition, EPIC-CoGe and data tracks are easily embedded in other websites and JBrowse instances.

Original languageEnglish (US)
Pages (from-to)2651-2653
Number of pages3
JournalBioinformatics
Volume34
Issue number15
DOIs
StatePublished - Aug 1 2018

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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