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General Information
    • ISSN: 2010-3689
    • Frequency: Bimonthly (2011-2014); Monthly (Since 2015)
    • DOI: 10.18178/IJIET
    • Editor-in-Chief: Prof. Dr. Steve Thatcher
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library, Google Scholar, Crossref and ProQuest
    • E-mail: ijiet@ejournal.net
Prof. Dr. Steve Thatcher
QUniversity, Australia
It is my honor to be the editor-in-chief of IJIET. The journal publishes good-quality papers which focous on the advanced researches in the field of information and education technology. Hopefully, IJIET will become a recognized journal among the scholars in the related fields.

IJIET 2015 Vol.5(2): 119-123 ISSN: 2010-3689
DOI: 10.7763/IJIET.2015.V5.487

Constraint-Based System for Genomic Analysis

Nittaya Kerdprasop and Kittisak Kerdprasop
Abstract—Recent advent of the new high-throughput biological technologies has brought more challenges to the computer science community in terms of the amount and variety of biological data awaiting for analysis. Computationally intensive techniques such as pattern recognition and machine learning algorithms have been applied to extract knowledge from several biological domains ranging from genomics, proteomics to system biology and evolution process. Learning techniques applied to the computational biology are mostly in the category of classification. Therefore, the sequence analysis problem has to be formulated as classification task, which is quite difficult due to the unobvious one-to-one mapping of the problem. In this paper, we propose a different setting of sequence analysis formulation based on the nucleotide patterns using a constraint logic programming paradigm, in which the sequence alignment can be performed through pattern matching techniques. With available knowledge from the field of pattern mining, we can apply the well-established techniques within the new framework of constraint programming. However, to make the system efficiently work, we need a new set of constraint solver algorithms specifically designed for the sequence analysis problem. The design and implementation of such algorithms are thus the main focus of our research project. We propose in this paper the design of a constraint-based system for genomic sequence analysis including the algorithm for the constraint solver, a major part of the proposed system.

Index Terms—Genomic sequence analysis, constraint-based system, constraint solver algorithm, constraint programming.

The authors are with the School of Computer Engineering. They are also with Data Engineering Research Unit, Suranaree University of Technology, 111 University Avenue, Muang District, Nakhon Ratchasima 30000, Thailand (e-mail: nittaya@sut.ac.th, kittisakThailand@gmail.com).


Cite: Nittaya Kerdprasop and Kittisak Kerdprasop, "Constraint-Based System for Genomic Analysis," International Journal of Information and Education Technology vol. 5, no. 2, pp. 119-123, 2015.

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