Genome Biology

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This article is part of the supplement: Quantitative inference of gene function from diverse large-scale datasets

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Inferring mouse gene functions from genomic-scale data using a combined functional network/classification strategy

Wan K Kim, Chase Krumpelman and Edward M Marcotte*

Genome Biology 2008, 9(Suppl 1):S5 doi:10.1186/gb-2008-9-s1-s5

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Gene networks in Drosophila melanogaster: integrating experimental data to predict gene function

James C Costello, Mehmet M Dalkilic, Scott M Beason, Jeff R Gehlhausen, Rupali Patwardhan, Sumit Middha, Brian D Eads, Justen R Andrews Genome Biology 2009, 10:R97 (16 September 2009)

The first computational interaction network built from Drosophila melanogaster protein-protein and genetic interaction data allows the functional annotation of orphan genes and reveals clusters of functionally-related genes.

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Text mining for biology - the way forward: opinions from leading scientists

Russ B Altman, Casey M Bergman, Judith Blake, Christian Blaschke, Aaron Cohen, Frank Gannon, Les Grivell, Udo Hahn, William Hersh, Lynette Hirschman, Lars Jensen, Martin Krallinger, Barend Mons, Seán I O'Donoghue, Manuel C Peitsch, Dietrich Rebholz-Schuhmann, Hagit Shatkay, Alfonso Valencia Genome Biology 2008, 9(Suppl 2):S7 (1 September 2008)

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A race through the maze of genomic evidence

Timothy R Hughes, Frederick P Roth Genome Biology 2008, 9(Suppl 1):S1 (27 June 2008)