Harnessing clusters for high performance computation of gene expression microarray comparative analysis

Church, Philip, Wong, Adam, Goscinski, Andrzej and Lefevre, Christophe 2010, Harnessing clusters for high performance computation of gene expression microarray comparative analysis, in Algorithms and architectures for parallel processing, Springer-Verlag Berlin Heidelberg, Berlin, Germany, pp.188-197.

Attached Files
Name Description MIMEType Size Downloads

Title Harnessing clusters for high performance computation of gene expression microarray comparative analysis
Author(s) Church, Philip
Wong, Adam
Goscinski, Andrzej
Lefevre, Christophe
Title of book Algorithms and architectures for parallel processing
Editor(s) Hsu, Ching-Hsien
Yang, Laurence T.
Park, Jong Hyuk
Yeo, Sang-Soo
Publication date 2010
Series Lecture Notes in Computer Science; v.6082
Chapter number 19
Total chapters 95
Start page 188
End page 197
Total pages 10
Publisher Springer-Verlag Berlin Heidelberg
Place of Publication Berlin, Germany
Keyword(s) gene expression
statistical algorithms
Summary Gene Expression Comparative Analysis allows bio-informatics researchers to discover the functional regulation of genes. This is achieved through comparisons between data-sets representing the quantities of substances in a biological system. Unnatural variations can be introduced during the data collection and digitization process so normalization algorithms must be applied to data before any accurate comparison can be made. There exist many different normalization methods each of which gives a different result. Comparing differently normalized datasets can allow for discovery of crucial regulated genes that may be otherwise hidden due to errors in a single normalization study. In this paper we introduce a web-based software package called EXP-PAC which makes use of a high performance computing platform of computer clusters to run multiple normalization methods in parallel. By generating multiple normalized datasets concurrently, we allow researchers the ability to improve the accuracy of their research with almost no extra time-cost.
ISBN 3642131352
ISSN 0302-9743
Language eng
Field of Research 060102 Bioinformatics
Socio Economic Objective 890299 Computer Software and Services not elsewhere classified
HERDC Research category B1 Book chapter
ERA Research output type B Book chapter
HERDC collection year 2010
Copyright notice ©2010, Springer-Verlag
Persistent URL http://hdl.handle.net/10536/DRO/DU:30034364

Document type: Book Chapter
Collection: School of Information Technology
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.

Version Filter Type
Access Statistics: 200 Abstract Views, 9 File Downloads  -  Detailed Statistics
Created: Mon, 18 Apr 2011, 10:14:23 EST by Sandra Dunoon

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.