DocumentCode :
2750610
Title :
BRQS Matching Algorithm for Searching Protein Sequence Databases
Author :
Klaib, Ahmad Fadel ; Osborne, Hugh
Author_Institution :
Inf. Dept., Univ. of Huddersfield, Huddersfield, UK
fYear :
2009
fDate :
3-5 April 2009
Firstpage :
223
Lastpage :
226
Abstract :
String matching algorithms play a key role in many computer science problems, challenges and in the implementation of computer software. This problem has received a great deal of attention due to various applications in computational biology. In our study, we propose a new algorithm called BRQS. Experimental results show that it offers fewer numbers of comparisons and offers improved elapsed searching time when compared to other well-known algorithms for searching any length of alphabets and patterns. The proposed algorithm is applicable to search protein sequence databases as well as any other string searching applications.
Keywords :
biology computing; pattern matching; proteins; query processing; Berry-Ravindran quick-search algorithm; computational biology; computer software; elapsed searching time; protein sequence databases searching; string matching algorithms; Amino acids; Application software; Biology computing; Computer science; Data engineering; Databases; Informatics; Pattern matching; Protein sequence; Software algorithms; BRQS; Proteins; String-matching Algorithms; Swiss-Prot database;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Computer and Communication, 2009. ICFCC 2009. International Conference on
Conference_Location :
Kuala Lumpar
Print_ISBN :
978-0-7695-3591-3
Type :
conf
DOI :
10.1109/ICFCC.2009.40
Filename :
5189777
Link To Document :
بازگشت