Literature DB >> 22987133

BioVLAB-MMIA: a cloud environment for microRNA and mRNA integrated analysis (MMIA) on Amazon EC2.

Hyungro Lee1, Youngik Yang, Heejoon Chae, Seungyoon Nam, Donghoon Choi, Patanachai Tangchaisin, Chathura Herath, Suresh Marru, Kenneth P Nephew, Sun Kim.   

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.

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Year:  2012        PMID: 22987133     DOI: 10.1109/TNB.2012.2212030

Source DB:  PubMed          Journal:  IEEE Trans Nanobioscience        ISSN: 1536-1241            Impact factor:   2.935


  5 in total

Review 1.  The functions of microRNAs in pluripotency and reprogramming.

Authors:  Trevor R Leonardo; Heather L Schultheisz; Jeanne F Loring; Louise C Laurent
Journal:  Nat Cell Biol       Date:  2012-11       Impact factor: 28.824

Review 2.  Bio and health informatics meets cloud : BioVLab as an example.

Authors:  Heejoon Chae; Inuk Jung; Hyungro Lee; Suresh Marru; Seong-Whan Lee; Sun Kim
Journal:  Health Inf Sci Syst       Date:  2013-02-04

3.  A novel approach for discovering condition-specific correlations of gene expressions within biological pathways by using cloud computing technology.

Authors:  Tzu-Hao Chang; Shih-Lin Wu; Wei-Jen Wang; Jorng-Tzong Horng; Cheng-Wei Chang
Journal:  Biomed Res Int       Date:  2014-01-22       Impact factor: 3.411

Review 4.  Enabling large-scale biomedical analysis in the cloud.

Authors:  Ying-Chih Lin; Chin-Sheng Yu; Yen-Jen Lin
Journal:  Biomed Res Int       Date:  2013-10-31       Impact factor: 3.411

Review 5.  A survey of best practices for RNA-seq data analysis.

Authors:  Ana Conesa; Pedro Madrigal; Sonia Tarazona; David Gomez-Cabrero; Alejandra Cervera; Andrew McPherson; Michał Wojciech Szcześniak; Daniel J Gaffney; Laura L Elo; Xuegong Zhang; Ali Mortazavi
Journal:  Genome Biol       Date:  2016-01-26       Impact factor: 13.583

  5 in total

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