東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Automated splice site analysis.

Nalla, Vijay Kumar Reddy.

Linked to FindBook

Google Book

Amazon

博客來

Automated splice site analysis.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Automated splice site analysis./
Author:	Nalla, Vijay Kumar Reddy.
Description:	81 p.
Notes:	Source: Masters Abstracts International, Volume: 43-06, page: 2284.
Contained By:	Masters Abstracts International43-06.
Subject:	Computer Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1426212
ISBN:	0542068923

Automated splice site analysis.
Nalla, Vijay Kumar Reddy.

Automated splice site analysis. - 81 p.

Source: Masters Abstracts International, Volume: 43-06, page: 2284.

Thesis (M.S.)--University of Missouri - Kansas City, 2005.

Information theory-based software tools have been useful in interpreting noncoding sequence variation within functional sequence elements such as splice sites. Individual information analysis detects activated cryptic splice sites and associated splicing regulatory sites and is capable of distinguishing null from partially functional alleles. We present a server (https://splice.cmh.edu) designed to analyze splicing mutations in binding sites in either human genes, genome-mapped mRNAs, user-defined sequences, or dbSNP entries. Standard HUGO-approved gene symbols and HGVS-approved systematic mutation nomenclature (or dbSNP format) are entered via a web portal. The software was validated by analyzing &sim;1,300 mutations from Human Mutation as well as eight mapped SNPs from dbSNP designated as splice site variants. All of the splicing mutations and variants affected splice site strength or activated cryptic splice sites. The server also detected several missense mutations that were unexpectedly predicted to have concomitant effects on splicing. The server also predicts the relative use of different cryptic sites based on total exon splicing information.

ISBN: 0542068923Subjects--Topical Terms:

626642
Computer Science.

Automated splice site analysis.
LDR:02016nmm 2200289 4500 001 1816434
005 20060717095842.5
008 130610s2005 eng d
020 $a 0542068923
035 $a (UnM)AAI1426212
035 $a AAI1426212
040 $a UnM $c UnM
100 1 $a Nalla, Vijay Kumar Reddy. $3 1905815
245 1 0 $a Automated splice site analysis.
300 $a 81 p.
500 $a Source: Masters Abstracts International, Volume: 43-06, page: 2284.
500 $a Adviser: Peter K. Rogan.
502 $a Thesis (M.S.)--University of Missouri - Kansas City, 2005.
520 $a Information theory-based software tools have been useful in interpreting noncoding sequence variation within functional sequence elements such as splice sites. Individual information analysis detects activated cryptic splice sites and associated splicing regulatory sites and is capable of distinguishing null from partially functional alleles. We present a server (https://splice.cmh.edu) designed to analyze splicing mutations in binding sites in either human genes, genome-mapped mRNAs, user-defined sequences, or dbSNP entries. Standard HUGO-approved gene symbols and HGVS-approved systematic mutation nomenclature (or dbSNP format) are entered via a web portal. The software was validated by analyzing &sim;1,300 mutations from Human Mutation as well as eight mapped SNPs from dbSNP designated as splice site variants. All of the splicing mutations and variants affected splice site strength or activated cryptic splice sites. The server also detected several missense mutations that were unexpectedly predicted to have concomitant effects on splicing. The server also predicts the relative use of different cryptic sites based on total exon splicing information.
590 $a School code: 0134.
650 4 $a Computer Science. $3 626642
650 4 $a Health Sciences, Human Development. $3 1019218
650 4 $a Biology, Molecular. $3 1017719
690 $a 0984
690 $a 0758
690 $a 0307
710 2 0 $a University of Missouri - Kansas City. $3 1021712
773 0 $t Masters Abstracts International $g 43-06.
790 1 0 $a Rogan, Peter K., $e advisor
790 $a 0134
791 $a M.S.
792 $a 2005
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1426212