Volume 8 Number 3 (Mar. 2013)
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JCP 2013 Vol.8(3): 613-621 ISSN: 1796-203X
doi: 10.4304/jcp.8.3.613-621

A Novel Ant Colony Optimization Based Algorithm for Identifying Gene Regulatory Elements

Wei Liu1, 2, Hanwu Chen1, Ling Chen2, 3, and Yixin Chen1
1 Department of Computer Science and Engineering, Southeast University, Nanjing 210096, China
2 Institute of Information Science and Technology, Yangzhou University , Yangzhou 225127, China
3 National Key Lab of Novel Software Tech, Nanjing University, Nanjing 210093, China


AbstractIt is one of the most important tasks in bioinformatics to identify the regulatory elements in gene sequences. Most of the current algorithms for identifying regulatory elements are easily to converge into a local optimum, and have high time complexity. Therefore, we propose a novel optimization algorithm named ACRI(antcolony- regulatory-identification) for identifying regulatory elements. Based on powerful optimization ability of antcolony algorithm, the algorithm ACRI can not only improve the quality of results, but also solve the problem at a very high speed. Experimental results show that ACRI can obtain higher quality of solutions using less computational time than other traditional algorithms.

Index TermsBioinformatics, Gene regulatory elements, Ant colony optimization

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Cite: Wei Liu, Hanwu Chen, Ling Chen, and Yixin Chen, " A Novel Ant Colony Optimization Based Algorithm for Identifying Gene Regulatory Elements," Journal of Computers vol. 8, no. 3, pp. 613-621, 2013.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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