DocumentCode :
2193951
Title :
BioVLAB-Microarray: Microarray Data Analysis in Virtual Environment
Author :
Yang, Youngik ; Choi, Jong Youl ; Choi, Kwangmin ; Pierce, Marlon ; Gannon, Dennis ; Kim, Sun
Author_Institution :
Sch. of Inf., Indiana Univ., Bloomingtonz, IN
fYear :
2008
fDate :
7-12 Dec. 2008
Firstpage :
159
Lastpage :
165
Abstract :
Microarray technology is a high-throughput experimental technique that can measure expression levels of hundreds of thousands of genes simultaneously. To interpret massive data from gene-expression microarray experiments, biologists encounter computational and analytical challenges. This is especially challenging for small research labs that lack local computing and bioinformatics expertise. Here, we introduce a virtual analysis system for microarray gene expression data in computing clouds with flexible and configurable GUI workflow engine so that biologists are able to analyze the data in many angles without worrying about computational and bioinformatics issues.
Keywords :
Internet; bioinformatics; data analysis; genetics; graphical user interfaces; groupware; BioVLAB-Microarray; GUI workflow engine; bioinformatics; cloud computing; gene-expression microarray data analysis; high-throughput experimental technique; virtual environment; Bioinformatics; Biology computing; Cloud computing; Data analysis; Data mining; Environmental management; Gene expression; Informatics; Pattern analysis; Virtual environment; Microarray; cloud computing; workflow engine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
eScience, 2008. eScience '08. IEEE Fourth International Conference on
Conference_Location :
Indianapolis, IN
Print_ISBN :
978-1-4244-3380-3
Electronic_ISBN :
978-0-7695-3535-7
Type :
conf
DOI :
10.1109/eScience.2008.57
Filename :
4736753
Link To Document :
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