WGAViewer

Citing this software

If you use WGAViewer in any published work, please cite both the software and the paper describing the software.

Software: WGAViewer
Author: Dongliang Ge & David B. Goldstein
URL: http://igm.cumc.columbia.edu/WGAViewer/

Ge D, Zhang D, Need AC, Martin O, Fellay J, Telenti A, Goldstein DB. WGAViewer: Software
for Genomic Annotation of Whole Genome Association Studies. Genome Res. 2008 Apr;18(4):640-3