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