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BIOINFORMATICS Vol. 19 Suppl. 1 2003, pages i315i322 DOI: 10.1093/bioinformatics/btg1044
 

Summary: BIOINFORMATICS Vol. 19 Suppl. 1 2003, pages i315i322
DOI: 10.1093/bioinformatics/btg1044
Gene structure-based splice variant
deconvolution using a microarry platform
Hui Wang1, 2,, Earl Hubbell1, Jing-shan Hu1, Gangwu Mei1,
Melissa Cline1, Gang Lu1, Tyson Clark3, Michael A. Siani-Rose1,
Manuel Ares3, David C. Kulp1 and David Haussler2
1Affymetrix Inc. 3450 Central Expressway, Santa Clara, CA 95051, USA,
2Department of Computer Science and Engineering, University of California, Santa
Cruz, 1156 High Street, Santa Cruz, CA 95064, USA and 3Department of Biology,
University of California, Santa Cruz, 1156 High Street, CA 95064, USA
Received on January 6, 2003; accepted on February 20, 2003
ABSTRACT
Motivation: Alternative splicing allows a single gene
to generate multiple mRNAs, which can be translated
into functionally and structurally diverse proteins. One
gene can have multiple variants coexisting at different
concentrations. Estimating the relative abundance of each
variant is important for the study of underlying biological
function. Microarrays are standard tools that measure

  

Source: Ares Jr., Manny - Department of Molecular, Cell, and Developmental Biology, University of California at Santa Cruz

 

Collections: Biology and Medicine