Zbrowse: An interactive GWAS results browser

Greg R. Ziegler, Ryan H. Hartsock, Ivan Baxter

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

The growing number of genotyped populations, the advent of high-throughput phenotyping techniques and the development ofGWAS analysis software has rapidly accelerated the number of GWAS experimental results. Candidate gene discovery from these results files is often tedious, involving many manual steps searching for genes in windows around a significant SNP. This problem rapidly becomes more complex when an analyst wishes to compare multiple GWAS studies for pleiotropic or environment specific effects. To this end, we have developed a fast and intuitive interactive browser for the viewing of GWAS results with a focus on an ability to compare results across multiple traits or experiments. The software can easily be run on a desktop computer with software that bioinformaticians are likely already familiar with. Additionally, the software can be hosted or embedded on a server for easy access by anyone with a modern web browser.

Original languageEnglish
Article numbere3
JournalPeerJ Computer Science
Volume2015
Issue number5
DOIs
StatePublished - 2015

Keywords

  • Association mapping
  • Data visualization
  • GWAS

Fingerprint

Dive into the research topics of 'Zbrowse: An interactive GWAS results browser'. Together they form a unique fingerprint.

Cite this