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Simplifying gene expression microarray comparative analysis.

Church, Philip, Goscinski, Andrzej, Wong, Adam and Lefevre, Christophe 2011, Simplifying gene expression microarray comparative analysis., in BIOCOM 2011 : Proceedings of the 2011 International Conference on Bioinformatics and Computational Biology, WORLDCOMP 2011, United States, pp. 1-5.

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Title Simplifying gene expression microarray comparative analysis.
Author(s) Church, Philip
Goscinski, Andrzej
Wong, Adam
Lefevre, Christophe
Conference name Bioinformatics and Computational Biology. Conference (12th : 2011 : Las Vegas, Nev.)
Conference location Las Vegas, Nev.
Conference dates 18-21 July 2011
Title of proceedings BIOCOM 2011 : Proceedings of the 2011 International Conference on Bioinformatics and Computational Biology
Editor(s) Arabnia, Hamid R.
Tran, Quoc-Nam
Publication date 2011
Conference series International Conference on Bioinformatics and Computational Biology
Start page 1
End page 5
Total pages 5
Publisher WORLDCOMP 2011
Place of publication United States
Keyword(s) Gene Expression
normalization
clusters
statistical algorithms
Summary 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.
Language eng
Field of Research 080501 Distributed and Grid Systems
Socio Economic Objective 890206 Internet Hosting Services (incl. Application Hosting Services)
HERDC Research category E1 Full written paper - refereed
HERDC collection year 2011
Copyright notice ©2011, WORLDCOMP
Persistent URL http://hdl.handle.net/10536/DRO/DU:30045649

Document type: Conference Paper
Collections: School of Information Technology
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