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.
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.
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Field of Research
080501 Distributed and Grid Systems
Socio Economic Objective
890206 Internet Hosting Services (incl. Application Hosting Services)