DocumentCode
2665362
Title
Creating protein sequence patterns using efficient regular expressions in bioinformatics research
Author
Mulder, Michael ; Nezlek, George S.
Author_Institution
Grand Valley State Univ., Allendale, MI
fYear
0
fDate
0-0 0
Firstpage
207
Lastpage
212
Abstract
Regular expressions are a common feature of contemporary scripting and programming languages, such as Perl and Java, as well as part of conventional database management systems by their incorporation into various dialects of SQL. Bioinformatics researchers encounter problem scenarios in protein sequence analysis that are ideally suited for the application of regular expression algorithms. This paper describes a representative application of regular expressions in this problem domain, and demonstrates how the effective use of regular expressions can serve to facilitate more efficient and more effective bioinformatics research
Keywords
biology computing; data analysis; pattern matching; proteins; sequences; Java; Perl; SQL; bioinformatics research; database management system; programming language; protein sequence pattern analysis; regular expression algorithm; scripting language; Amino acids; Bioinformatics; Computer languages; Database systems; Hidden Markov models; Java; Management information systems; Pattern matching; Protein sequence; Sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology Interfaces, 2006. 28th International Conference on
Conference_Location
Cavtat/Dubrovnik
ISSN
1330-1012
Print_ISBN
953-7138-05-4
Type
conf
DOI
10.1109/ITI.2006.1708479
Filename
1708479
Link To Document