An experience report: porting the MG-RAST rapid metagenomics analysis pipeline to the cloud

作者：Wilke Andreas; Wilkening Jared; Glass Elizabeth M; Desai Narayan L; Meyer Folker^*

来源：Concurrency and Computation-Practice & Experience, 2011, 23(17): 2250-2257.

DOI：10.1002/cpe.1799

• cloud computing
• bioinformatics
• metagenomics
• genomics

Existing applications in computational biology typically favor a local cluster based integrated computational platform. We present a lessons learned type report for scaling up an existing metagenomics application that outgrew the available local cluster hardware. In our example, removing a number of assumptions linked to tight integration allowed to expand beyond one administrative domain, increase the number and type of machines available for the application, and also improved scaling properties of the application. The assumptions made in designing the computational client make it well suitable for deployment as a virtual machine inside a cloud. This paper discusses the decision process and describes the suitability of deploying various bioinformatics computations to distributed heterogeneous machines.

• 出版日期2011-12-10
• 单位中国社会科学院