WGAViewer

Credits and sources of supports

WGAViewer has mainly been developed by Drs. Dongliang Ge and David Goldstein at Duke Institute for Genome Sciences & Policy, Center for Human Genome Variation. Some colleagues have also participated in the development, including:

Drs. Kunlin Zhang & Amalio Telenti (a) ; Olivier Martin (b)

comparative genetics module, quality control module.

(a) Institute of Microbiology at the University of Lausanne , Switzerland .

(b) Swiss Institute of Bioinformatics , Lausanne , Switzerland

The authors would thank Dr. Mike E. Weale from University College London for help in the population stratification module.

The authors also thank Darin London, Robert J. Wagner, and Mark R DeLong from Duke Institute for Genome Sciences & Policy for their work on setting up the Mart for IGSP Data from Association Studies (MIDAS). WGAViewer uses the query engine provided by the Biomart Data Integration System (http://www.biomart.org/). The MIDAS data are also accessible from the MIDAS BioMart instance at http://midas.genome.duke.edu/biomart/martview.

This project is supported by the Center for HIV-AIDS Vaccine Immunology (CHAVI, http://www.chavi.org/) and the Duke Institute for Genome Sciences & Policy (IGSP, http://www.genome.duke.edu/).