WGAViewer

Downloading WGAViewer

There are two types of installation packages currenly available: the standard edition and the lite edition. The lite edition offers limited functions, while the package size is much smaller than the standard version. We recommend the standard edition.

Before you download this software, we hope you can take some time to fill a registration form. This registration is free of charge and will ensure us inform you of updates and bug-fixes. It will also enable us to estimate the interest in our work.
If you have already registered, please click on the "returning user" hyperlink in the next page.

WGAViewer used in hepatitis C discovery

>>> WGAViewer standard edition (~180 MB)

>>> WGAViewer Lite edition (~40 MB)


New! Extension to the WGAViewer program

Compared with previous discovery strategies, a whole-genome sequencing study is no longer constrained by differing patterns of linkage disequilibrium (Need and Goldstein, Trends in Genetics 2009;25(11):489-494), thus, in theory, is more possible to directly identify the gentic variants contributing to biological traits or medical outcomes.

The rapidly evolving high-throughput DNA sequencing technologies have now allowed the fast generation of large amount of sequence data for the purpose of performing such whole-genome sequencing studies, at a reasonable cost. SequenceVariantAnalyzer, or SVA, is a software tool that we have been developing to analyze the genetic variants identified from such studies.

If you use WGAViewer in any published work, please kindly cite our work. For a list of publications citing WGAViewer, click here.


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

 

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