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Data representation and sequence ali...

Hosangadi Chidananda, Sandeep.

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Data representation and sequence alignment in bioinformatics.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Data representation and sequence alignment in bioinformatics./
Author:	Hosangadi Chidananda, Sandeep.
Description:	72 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=1542186
ISBN:	9781303265303

Data representation and sequence alignment in bioinformatics.
Hosangadi Chidananda, Sandeep.

Data representation and sequence alignment in bioinformatics. - 72 p.

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

Thesis (M.S.)--Oklahoma State University, 2013.

This thesis considers representation of protein-protein interaction and metabolic process as biological networks and study of various computational tools available for generating networks from biological interactions. It also presents a new alignment algorithm for DNA sequences that is important to identify areas of similarity based on evolutionary, structural and functional aspects. Our proposed alignment algorithm performs sequence alignment by considering minimal gap requirements and unlike other algorithms it does not use substitution matrix. The algorithm provides various possible solutions of aligning sequences, out of which one could be chosen based on minimal gap and other considerations. We have compared time complexities of this algorithm with other sequence alignment algorithms.

ISBN: 9781303265303Subjects--Topical Terms:

1018415
Biology, Bioinformatics.

Data representation and sequence alignment in bioinformatics.
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020 $a 9781303265303
035 $a (MiAaPQ)AAI1542186
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100 1 $a Hosangadi Chidananda, Sandeep. $3 2096391
245 1 0 $a Data representation and sequence alignment in bioinformatics.
300 $a 72 p.
500 $a Source: Masters Abstracts International, Volume: 52-01.
500 $a Adviser: Subhash Kak.
502 $a Thesis (M.S.)--Oklahoma State University, 2013.
520 $a This thesis considers representation of protein-protein interaction and metabolic process as biological networks and study of various computational tools available for generating networks from biological interactions. It also presents a new alignment algorithm for DNA sequences that is important to identify areas of similarity based on evolutionary, structural and functional aspects. Our proposed alignment algorithm performs sequence alignment by considering minimal gap requirements and unlike other algorithms it does not use substitution matrix. The algorithm provides various possible solutions of aligning sequences, out of which one could be chosen based on minimal gap and other considerations. We have compared time complexities of this algorithm with other sequence alignment algorithms.
590 $a School code: 0664.
650 4 $a Biology, Bioinformatics. $3 1018415
650 4 $a Computer Science. $3 626642
690 $a 0715
690 $a 0984
710 2 $a Oklahoma State University. $b Computer Science. $3 1018596
773 0 $t Masters Abstracts International $g 52-01(E).
790 $a 0664
791 $a M.S.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1542186