Supercomputing for the parallelization of whole genome analysis | Zendy

Megan J. Puckelwartz | Zendy; Lorenzo L. Pesce | Zendy; Viswateja Nelakuditi | Zendy; Lisa DellefaveCastillo | Zendy; Jessica R. Golbus | Zendy; Sharlene M. Day | Zendy; Thomas P. Cappola | Zendy; Gerald W. Dorn | Zendy; Ian Foster | Zendy; Elizabeth M. McNally | Zendy

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Supercomputing for the parallelization of whole genome analysis

Author(s) -

Megan J. Puckelwartz,

Lorenzo L. Pesce,

Viswateja Nelakuditi,

Lisa DellefaveCastillo,

Jessica R. Golbus,

Sharlene M. Day,

Thomas P. Cappola,

Gerald W. Dorn,

Ian Foster,

Elizabeth M. McNally

Publication year - 2014

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btu071

Subject(s) - supercomputer , computer science , parallel computing , automatic parallelization , computational science , programming language , compiler

The declining cost of generating DNA sequence is promoting an increase in whole genome sequencing, especially as applied to the human genome. Whole genome analysis requires the alignment and comparison of raw sequence data, and results in a computational bottleneck because of limited ability to analyze multiple genomes simultaneously.

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