Simplifying gene expression microarray comparative analysis.


Autoria(s): Church, Philip; Goscinski, Andrzej; Wong, Adam; Lefevre, Christophe
Contribuinte(s)

Arabnia, Hamid R.

Tran, Quoc-Nam

Data(s)

01/01/2011

Resumo

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.<br />

Identificador

http://hdl.handle.net/10536/DRO/DU:30045649

Idioma(s)

eng

Publicador

WORLDCOMP 2011

Relação

http://dro.deakin.edu.au/eserv/DU:30045649/church-simplifyinggene-2011.pdf

http://dro.deakin.edu.au/eserv/DU:30045649/church-simplifyinggene-evid-2011.pdf

http://www.world-academy-of-science.org/worldcomp11/ws/conferences/biocomp11

Direitos

2011, WORLDCOMP

Palavras-Chave #Gene Expression #normalization #clusters #statistical algorithms
Tipo

Conference Paper