Cloud Technologies for Microsoft Computational Biology Tools

Provided by: Academy & Industry Research Collaboration Center
Topic: Cloud
Format: PDF
Executing large number of self-regulating tasks or tasks that execute minimal inter-task communication in analogous is a common requirement in many domains. In this paper, the authors present their knowledge in applying two new Microsoft technologies Dryad and Azure to three bioinformatics applications. They also contrast with traditional MPI and Apache Hadoop MapReduce completion in one example. The applications are an EST (Expressed Sequence Tag) series assembly program, PhyloD statistical package to recognize HLA-associated viral evolution, and a pairwise Alu gene alignment application.

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