BioVLAB: Bioinformatics data analysis using cloud computing and graphical workflow composers

Youngik Yang, Jong Youl Choi, Chathura Herath, Suresh Marru, Sun Kim

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

6 Scopus citations

Abstract

Recent advances in high-throughput instrument technologies allow small research labs to obtain data for scientific projects of their interest in a cost-effective way. In biology and medicine, this opened a door to a genome-wide study. Unfortunately, many small research labs are unable to afford the analysis of such data since the data analysis task requires bioinformatics experts and a good computing infrastructure to process and analyze a large amount of data. We have been developing a novel bioinformatics computing architecture, called BioVLAB, using Amazon cloud computing and the Linked Enviroments for Atmospheric Discovery (LEAD)/OGCE (Open Grid Computing Environments) scientific workflow system. The emergence of cloud computing enables biologists to perform data analysis tasks without worrying about computing resources and related issues such as system administration and resource allocation. The BioVLAB architecture is based on the LEAD/OGCE workflow system that includes a front-end graphical workflow system named XBaya, which allows biologists to run tasks in an intuitive way. XBaya empowers users to visually monitor workflow execution in real time and provides controls to modify the workflow and steer it according to their scientific needs. The workflow system presents an elegant abstraction so that biologists can focus on science while the system deals with all cloud computing and local resource interactions.

Original languageEnglish
Title of host publicationCloud Computing and Software Services
Subtitle of host publicationTheory and Techniques
PublisherCRC Press
Pages309-327
Number of pages19
ISBN (Electronic)9781439803165
ISBN (Print)9781439803158
DOIs
StatePublished - Jan 1 2010
Externally publishedYes

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