Computational genomics on the grid

Computational genomics on the grid

The post-genomic era is characterized by large amount of data available from sequencing projects. The large size of biological datasets, inherent complexity of biological problems and the ability to deal with error-prone data all result in large runtime and memory requirements. Using parallel comput...

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Bibliographic Details
Main Author: Chen, Chunxi
Other Authors: Schmidt Bertil
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Computer science and engineering::Theory of computation::Analysis of algorithms and problem complexity
DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Online Access:https://hdl.handle.net/10356/2468
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Institution: Nanyang Technological University
Description
Summary:The post-genomic era is characterized by large amount of data available from sequencing projects. The large size of biological datasets, inherent complexity of biological problems and the ability to deal with error-prone data all result in large runtime and memory requirements. Using parallel computing to solve computational genomics problems efficiently is therefore widely used approach.

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