DRO

Openly accessible

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.

Attached Files
Name Description MIMEType Size Downloads
church-simplifyinggene-2011.pdf Published version application/pdf 1.06MB 108

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
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30045649

Connect to link resolver
 
Link to Related Work
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus Google Scholar Search Google Scholar
Access Statistics: 583 Abstract Views, 110 File Downloads  -  Detailed Statistics
Created: Mon, 04 Jun 2012, 13:40:19 EST by Barb Robertson

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.