Cost-Effective Cloud Computing: A Case Study Using the Comparative Genomics Tool, Roundup | Zendy

Parul Kudtarkar | Zendy; Todd F. DeLuca | Zendy; Vincent A. Fusaro | Zendy; Peter J. Tonellato | Zendy; Dennis P. Wall | Zendy

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Cost-Effective Cloud Computing: A Case Study Using the Comparative Genomics Tool, Roundup

Author(s) -

Parul Kudtarkar,

Todd F. DeLuca,

Vincent A. Fusaro,

Peter J. Tonellato,

Dennis P. Wall

Publication year - 2010

Publication title -

evolutionary bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.502

H-Index - 32

ISSN - 1176-9343

DOI - 10.4137/ebo.s6259

Subject(s) - cloud computing , computer science , computation , genomics , distributed computing , data science , comparative genomics , resource (disambiguation) , scale (ratio) , computational resource , genome , data mining , computational complexity theory , biology , algorithm , operating system , biochemistry , computer network , physics , quantum mechanics , gene

Comparative genomics resources, such as ortholog detection tools and repositories are rapidly increasing in scale and complexity. Cloud computing is an emerging technological paradigm that enables researchers to dynamically build a dedicated virtual cluster and may represent a valuable alternative for large computational tools in bioinformatics. In the present manuscript, we optimize the computation of a large-scale comparative genomics resource-Roundup-using cloud computing, describe the proper operating principles required to achieve computational efficiency on the cloud, and detail important procedures for improving cost-effectiveness to ensure maximal computation at minimal costs.

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