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BioVLAB-MMIA:一个基于亚马逊 EC2 的 miRNA 和 mRNA 整合分析(MMIA)的云环境。

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

机构信息

School of Informatics and Computing, Indiana University, Bloomington, IN 47404, USA.

出版信息

IEEE Trans Nanobioscience. 2012 Sep;11(3):266-72. doi: 10.1109/TNB.2012.2212030.

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.

摘要

MicroRNAs 通过调控数百个靶基因的表达,在发育生物学和许多疾病(包括癌症)的发病机制中发挥着关键作用。由于现在有大量的 microRNA 表达谱数据可供公开使用,因此将 microRNA 表达数据集与基因表达谱进行整合是生命科学研究中的一个关键问题。然而,要进行全基因组范围的 microRNA-mRNA(基因)整合,目前需要复杂的、高端的信息学工具,并且需要在生物信息学和计算机科学方面具备丰富的专业知识,以开展复杂的整合分析。此外,还需要增加计算基础设施的能力,以适应大型数据集。在这项研究中,我们扩展了 BioVLAB 云工作台,开发了一个用于 microRNA 和 mRNA 表达数据综合分析的环境,名为 BioVLAB-MMIA。该工作台通过 XBaya Workflow Suite 协调对 Amazon EC2 和 S3 资源的计算。与基于网络的 MMIA 系统相比,BioVLAB-MMIA 的优势包括:1)随着新的计算工具的出现,可以随时扩展;2)通过重新配置工作流程中的图形图标,很容易进行修改;3)可以按需使用云计算资源;4)分布式协调支持异步运行复杂且长时间运行的工作流程。我们相信,BioVLAB-MMIA 将成为计划进行全基因组范围的 microRNA-mRNA(基因)整合分析任务的研究人员的一个易于使用的计算环境。

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