DocumentCode :
1283089
Title :
BioVLAB-MMIA: A Cloud Environment for microRNA and mRNA Integrated Analysis (MMIA) on Amazon EC2
Author :
Hyungro Lee ; Youngik Yang ; Heejoon Chae ; Seungyoon Nam ; Donghoon Choi ; Tangchaisin, P. ; Herath, C. ; Marru, S. ; Nephew, K.P. ; Sun Kim
Author_Institution :
Sch. of Inf. & Comput., Indiana Univ., Bloomington, IN, USA
Volume :
11
Issue :
3
fYear :
2012
Firstpage :
266
Lastpage :
272
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 a vast amount of microRNA expression profile data are now publicly available, the integration of microRNA expression data sets with gene expression profiles is a key research problem in 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 extended the 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 the 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. We believe that BioVLAB-MMIA will be an easy-to-use computing environment for researchers who plan to perform genome-wide microRNA-mRNA (gene) integrated analysis tasks.
Keywords :
RNA; bioinformatics; cloud computing; data integration; Amazon EC2; BioVLAB cloud workbench; BioVLAB-MMIA; XBaya Workflow Suite; bioinformatics; cancer; cloud environment; computational tools; computer science; computing infrastructure; developmental biology; diseases; distributed orchestration; etiology; gene expression profiles; genome-wide microRNA-mRNA integration; graphic icons; high-end informatics tools; integration analysis; life science research; mRNA expression data; mRNA integrated analysis; microRNA expression data sets; microRNA expression profile data; on-demand cloud computing resources; Bioinformatics; Cancer; Cloud computing; Databases; Engines; Genomics; Logic gates; Cloud computing; mRNAs; microRNAs; scientific workflows; Cell Line, Tumor; Database Management Systems; Databases, Genetic; Drug Resistance, Neoplasm; Genomics; Humans; Internet; MicroRNAs; RNA, Messenger;
fLanguage :
English
Journal_Title :
NanoBioscience, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1241
Type :
jour
DOI :
10.1109/TNB.2012.2212030
Filename :
6298043
Link To Document :
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