Zbrowse: an interactive GWAS results browser

United States Department of Agriculture Agricultural Research Service, St. Louis, Missouri, United States
Donald Danforth Plant Science Center, St. Louis, Missouri, United States
DOI
10.7287/peerj.preprints.902v1
Subject Areas
Bioinformatics, Computational Biology, Visual Analytics
Keywords
GWAS, association mapping, data visualization
Copyright
© 2015 Ziegler et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ PrePrints) and either DOI or URL of the article must be cited.
Cite this article
Ziegler GR, Hartsock RH, Baxter I. 2015. Zbrowse: an interactive GWAS results browser. PeerJ PrePrints 3:e902v1

Abstract

The growing number of genotyped populations, the advent of high-throughput phenotyping techniques and the development of GWAS 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.

Author Comment

This is a submission to PeerJ Computer Science for review.