Literature DB >> 12458004

Gene function on a genomic scale.

Lars M Steinmetz1, Adam M Deutschbauer.   

Abstract

The ability to obtain experimental measurements for thousands of genes has revolutionized our view of biological systems. While traditional studies of gene function evaluated many different properties for a single gene, genomic approaches can measure a single property for thousands of genes. Over the last years, genomic approaches have been developed to measure many different properties, including gene expression, deletion phenotype, and protein characteristics. The promise of integrating these datasets has made it attractive to test whether genomic approaches can determine gene function with accuracy comparable to single gene approaches.

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Year:  2002        PMID: 12458004     DOI: 10.1016/s1570-0232(02)00549-4

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  1 in total

1.  A critical assessment of Mus musculus gene function prediction using integrated genomic evidence.

Authors:  Lourdes Peña-Castillo; Murat Tasan; Chad L Myers; Hyunju Lee; Trupti Joshi; Chao Zhang; Yuanfang Guan; Michele Leone; Andrea Pagnani; Wan Kyu Kim; Chase Krumpelman; Weidong Tian; Guillaume Obozinski; Yanjun Qi; Sara Mostafavi; Guan Ning Lin; Gabriel F Berriz; Francis D Gibbons; Gert Lanckriet; Jian Qiu; Charles Grant; Zafer Barutcuoglu; David P Hill; David Warde-Farley; Chris Grouios; Debajyoti Ray; Judith A Blake; Minghua Deng; Michael I Jordan; William S Noble; Quaid Morris; Judith Klein-Seetharaman; Ziv Bar-Joseph; Ting Chen; Fengzhu Sun; Olga G Troyanskaya; Edward M Marcotte; Dong Xu; Timothy R Hughes; Frederick P Roth
Journal:  Genome Biol       Date:  2008-06-27       Impact factor: 13.583

  1 in total

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