DocumentCode
2891422
Title
BioVLAB-MMIA: A Reconfigurable Cloud Computing Environment for microRNA and mRNA Integrated Analysis
Author
Lee, Hyungro ; Yang, Youngik ; Chae, Heejoon ; Nam, Seungyoon ; Choi, Donghoon ; Tangchaisin, Patanachai ; Herath, Chathura ; Marru, Suresh ; Nephew, Kenneth P. ; Kim, Sun
Author_Institution
Sch. of Inf. & Comput., Indiana Univ., Bloomington, IN, USA
fYear
2011
fDate
12-15 Nov. 2011
Firstpage
494
Lastpage
499
Abstract
MicroRNAs, by regulating the expression of hundreds of target genes, play critical roles in developmental biology and the etiology of numerous diseases, including cancer. As vast amounts of microRNA expression profile data are now publicly available, the integration of those data sets with gene expression profiles represents an extremely active area of life science research. However, the ability to conduct genome wide microRNA-mRNA (gene) integration currently requires sophisticated, high-end informatics tools, significant expertise in bioinformatics and computer science to carry out the complex integration analysis. In addition, increased computing infrastructure capabilities are essential in order to accommodate large data sets. In this study, we have extending BioVLAB cloud workbench to develop an environment for the integrated analysis of microRNA and mRNA expression data, named BioVLAB-MMIA. The workbench facilitates computations on the Amazon EC2 and S3 resources orchestrated by XBaya Workflow Suite. The advantages of BioVLAB-MMIA over the web-based MMIA system include: 1) readily expanded as new computational tools become available; 2) easily modifiable by re-configuring graphic icons in the workflow; 3) on-demand cloud computing resources can be used on an as needed basis; 4) distributed orchestration supports complex and long running workflows asynchronously.
Keywords
bioinformatics; cancer; cloud computing; data analysis; molecular biophysics; Amazon EC2 resource; Amazon S3 resource; BioVLAB-MMIA environment; XBaya Workflow Suite; bioinformatics; cancer; computer science; developmental biology; distributed orchestration; gene expression profile; life science research; mRNA analysis; microRNA analysis; microRNA expression profile data; on-demand cloud computing; reconfigurable cloud computing environment; scientific workflow; Bioinformatics; Cancer; Cloud computing; Computer architecture; Diseases; Educational institutions; Genomics; Cloud computing; Scientific workflows; mRNAs; microRNAs;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedicine (BIBM), 2011 IEEE International Conference on
Conference_Location
Atlanta, GA
Print_ISBN
978-1-4577-1799-4
Type
conf
DOI
10.1109/BIBM.2011.93
Filename
6120491
Link To Document