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Bioinformatics Advance Access published online on May 3, 2005
Bioinformatics, doi:10.1093/bioinformatics/bti467
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© The Author (2005). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oupjournals.org
Received August 25, 2004
Revised April 23, 2005
Accepted April 23, 2005

Article

DIG - a system for gene annotation and functional discovery

Mark DeLong 1, Guang Yao 1, Quanli Wang 2, Adrian Dobra 3, Esther P. Black 1, Jeffrey T. Chang 1, Andrea Bild 1, Mike West 2, Joseph R. Nevins 1, and Holly Dressman 1

1 Duke Institute for Genome Sciences and Policy, Duke University Medical Center, Durham, NC; Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC
2 Duke Institute for Genome Sciences and Policy, Duke University Medical Center, Durham, NC; Institute of Statistics and Decision Sciences, Duke University, Durham, NC
3 Duke Institute for Genome Sciences and Policy, Duke University Medical Center, Durham, NC; Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC; Institute of Statistics and Decision Sciences, Duke University, Durham, NC


  Abstract

We describe a database and information discovery system termed DIG (Duke Integrated Genomics) designed to facilitate the process of gene annotation and discovery of functional context. The DIG system collects and organizes gene annotation and functional information, and includes tools that support an understanding of genes in a functional context by providing a framework for integrating and visualizing gene expression, protein interaction, and literature-based interaction networks.


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