• 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