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Functional analysis of genes using t...

Nagar, Anurag.

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Functional analysis of genes using the gene ontology: Gene similarity, clustering, and classification.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Functional analysis of genes using the gene ontology: Gene similarity, clustering, and classification./
Author:	Nagar, Anurag.
Description:	121 p.
Notes:	Adviser: Hisham Al-Mubaid.
Contained By:	Masters Abstracts International46-05.
Subject:	Biology, Bioinformatics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1452685
ISBN:	9780549517658

Functional analysis of genes using the gene ontology: Gene similarity, clustering, and classification.
Nagar, Anurag.

Functional analysis of genes using the gene ontology: Gene similarity, clustering, and classification. - 121 p.

Adviser: Hisham Al-Mubaid.

Thesis (M.S.)--University of Houston-Clear Lake, 2008.

The amount of genomic data has grown massively in the past decade. Bioinformatics research has now shifted to functional genomics, which seeks to identify patterns in the data to discover new gene functions. The huge volumes of research productions from the various genomics projects make the demand for computational methods even higher. This thesis presents new methods and investigations on gene functional analysis (e.g. gene similarity, gene clustering, gene classification) using Gene Ontology (GO) and annotation databases. The proposed methods for gene similarity apply exponential function to the path length between gene annotation terms within the GO hierarchy. For evaluation, similarity values of genes taking part in various cellular pathways from the SGD database, and from other genomes were calculated and clustered. The results were compared with those from three of the leading methods. The proposed methods proved to be very competitive in all cases and the clustering results showed that our methods are able to surpass the leading methods in many cases.

ISBN: 9780549517658Subjects--Topical Terms:

1018415
Biology, Bioinformatics.

Functional analysis of genes using the gene ontology: Gene similarity, clustering, and classification.
LDR:01968nam 2200277 a 45 001 962334
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020 $a 9780549517658
035 $a (UMI)AAI1452685
035 $a AAI1452685
040 $a UMI $c UMI
100 1 $a Nagar, Anurag. $3 1285382
245 1 0 $a Functional analysis of genes using the gene ontology: Gene similarity, clustering, and classification.
300 $a 121 p.
500 $a Adviser: Hisham Al-Mubaid.
500 $a Source: Masters Abstracts International, Volume: 46-05, page: 2731.
502 $a Thesis (M.S.)--University of Houston-Clear Lake, 2008.
520 $a The amount of genomic data has grown massively in the past decade. Bioinformatics research has now shifted to functional genomics, which seeks to identify patterns in the data to discover new gene functions. The huge volumes of research productions from the various genomics projects make the demand for computational methods even higher. This thesis presents new methods and investigations on gene functional analysis (e.g. gene similarity, gene clustering, gene classification) using Gene Ontology (GO) and annotation databases. The proposed methods for gene similarity apply exponential function to the path length between gene annotation terms within the GO hierarchy. For evaluation, similarity values of genes taking part in various cellular pathways from the SGD database, and from other genomes were calculated and clustered. The results were compared with those from three of the leading methods. The proposed methods proved to be very competitive in all cases and the clustering results showed that our methods are able to surpass the leading methods in many cases.
590 $a School code: 1251.
650 4 $a Biology, Bioinformatics. $3 1018415
650 4 $a Computer Science. $3 626642
690 $a 0715
690 $a 0984
710 2 $a University of Houston-Clear Lake. $3 1018602
773 0 $t Masters Abstracts International $g 46-05.
790 $a 1251
790 1 0 $a Al-Mubaid, Hisham, $e advisor
791 $a M.S.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1452685