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Simplifying gene expression microarray comparative analysis.

conference contribution
posted on 2011-01-01, 00:00 authored by Philip Church, Andrzej GoscinskiAndrzej Goscinski, Adam Wong, Christophe Lefevre
Gene Expression Comparative Analysis allows bioinformatics researchers to discover the conserved or specific functional regulation of genes. This is achieved through comparisons between quantitative gene expression measurements obtained in different species on different platforms to address a particular biological system. Comparisons are made more difficult due to the need to map orthologous genes between species, pre-processing of data (normalization) and post-analysis (statistical and correlation analysis). In this paper we introduce a web-based software package called EXP-PAC which provides on line interfaces for database construction and query of data, and makes use of a high performance computing platform of computer clusters to run gene sequence mapping and normalization methods in parallel. Thus, EXP-PAC facilitates the integration of gene expression data for comparative analysis and the online sharing, retrieval and visualization of complex multi-specific and multi-platform gene expression results.

History

Event

Bioinformatics and Computational Biology. Conference (12th : 2011 : Las Vegas, Nev.)

Pagination

1 - 5

Publisher

WORLDCOMP 2011

Location

Las Vegas, Nev.

Place of publication

United States

Start date

2011-07-18

End date

2011-07-21

Language

eng

Publication classification

E1 Full written paper - refereed

Copyright notice

2011, WORLDCOMP

Editor/Contributor(s)

H Arabnia, Q Tran

Title of proceedings

BIOCOM 2011 : Proceedings of the 2011 International Conference on Bioinformatics and Computational Biology

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