Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/47481
Title: High performance computing for computational biology
Authors: Du, Zhihua
Keywords: DRNTU::Engineering::Computer science and engineering::Computer systems organization::Special-purpose and application-based systems
Issue Date: 2005
Source: Du, Z. (2005). High performance computing for computational biology. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: Both sequence comparison and phylogenetic inference are of great importance to biologists; and these problems are fundamentally interdependent. Most methods for phylogenetic inference use a given sequence alignment as an input, and efficient multiple alignment procedures often take advantage of a phylogenetic relationship of the sequences. However, the algorithms used in these problems are very computationally demanding. Also, the huge increase in size of publicly available genomic data has meant that many common tasks in bioinformatics are not possible to complete in a reasonable amount of time on a single processor. For example, inferring phylogenetic trees is an enormously difficult problem because of the huge number of potential alternative tree topologies, for that number grows exponentially.
Description: 182 p.
URI: https://hdl.handle.net/10356/47481
DOI: 10.32657/10356/47481
Rights: Nanyang Technological University
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

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