4.5 Article

BioVLAB-MMIA: A Cloud Environment for microRNA and mRNA Integrated Analysis (MMIA) on Amazon EC2

期刊

IEEE TRANSACTIONS ON NANOBIOSCIENCE
卷 11, 期 3, 页码 266-272

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNB.2012.2212030

关键词

Cloud computing; microRNAs; mRNAs; scientific workflows

资金

  1. MetaCyt Microbial node from the Lily Foundation
  2. National Cancer Institute [U54 CA113001]
  3. Seoul National University
  4. National Science Foundation [OCI-1032742]
  5. Korea Institute of Science and Technology Information (KISTI), Republic of Korea
  6. Walther Cancer Foundation, Indianapolis, IN
  7. Office of Advanced Cyberinfrastructure (OAC)
  8. Direct For Computer & Info Scie & Enginr [1032742] Funding Source: National Science Foundation

向作者/读者索取更多资源

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.

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