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Systematic approach to basic local a...

Ramirez-Benavides, Liliana.

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Systematic approach to basic local alignment search tool (BLAST) in bioinformatics.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Systematic approach to basic local alignment search tool (BLAST) in bioinformatics./
Author:	Ramirez-Benavides, Liliana.
Description:	103 p.
Notes:	Source: Masters Abstracts International, Volume: 52-01.
Contained By:	Masters Abstracts International52-01(E).
Subject:	Biology, Bioinformatics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1523472
ISBN:	9781303227431

Systematic approach to basic local alignment search tool (BLAST) in bioinformatics.
Ramirez-Benavides, Liliana.

Systematic approach to basic local alignment search tool (BLAST) in bioinformatics. - 103 p.

Source: Masters Abstracts International, Volume: 52-01.

Thesis (M.S.)--California State University, Dominguez Hills, 2013.

Dynamic programming is a programming technique to find solutions to problems in bio-sequence analysis; it compares protein and DNA sequences. Sequence comparison, gene recognition, RNA structure prediction, and hundreds of other problems are solved in dynamic programming. Some of the algorithms utilized in dynamic programming include sequence alignment, structural alignment and RNA structure prediction. The pair-wise method alignment is used to find the best-matching local or global alignment of two sequences, but the growing of those sequences has brought the need to create tools to maximize and expedite those comparisons. Based on heuristics and the local alignment algorithm of Smith-Waterman, BLAST algorithm was developed as a faster tool for similarity searching in sequence databases. This project analyzes the systematic approach of BLAST in bioinformatics by implementing the local and global algorithms, provides the BLAST methodology, and analyzes the scoring matrices and the different variants of the BLAST algorithm.

ISBN: 9781303227431Subjects--Topical Terms:

1018415
Biology, Bioinformatics.

Systematic approach to basic local alignment search tool (BLAST) in bioinformatics.
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245 1 0 $a Systematic approach to basic local alignment search tool (BLAST) in bioinformatics.
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500 $a Source: Masters Abstracts International, Volume: 52-01.
500 $a Adviser: Jianchao Jack Han.
502 $a Thesis (M.S.)--California State University, Dominguez Hills, 2013.
520 $a Dynamic programming is a programming technique to find solutions to problems in bio-sequence analysis; it compares protein and DNA sequences. Sequence comparison, gene recognition, RNA structure prediction, and hundreds of other problems are solved in dynamic programming. Some of the algorithms utilized in dynamic programming include sequence alignment, structural alignment and RNA structure prediction. The pair-wise method alignment is used to find the best-matching local or global alignment of two sequences, but the growing of those sequences has brought the need to create tools to maximize and expedite those comparisons. Based on heuristics and the local alignment algorithm of Smith-Waterman, BLAST algorithm was developed as a faster tool for similarity searching in sequence databases. This project analyzes the systematic approach of BLAST in bioinformatics by implementing the local and global algorithms, provides the BLAST methodology, and analyzes the scoring matrices and the different variants of the BLAST algorithm.
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