Genetic Algorithm-Based Motif Search Problem: A Review

Author:

Mohanty Satarupa,Mohanty Suneeta

Publisher

Springer Singapore

Reference22 articles.

1. Pradhan, M.: Motif Discovery in Biological Sequences. Master’s Projects. Paper 106. http://scholarworks.sjsu.edu/etd_projects/106 (2008)

2. Rajasekaran, S.: Algorithms for Motif Search. University of Connecticut, CRC Press, www.engr.uconn.edu/~rajasek/bc16.pdf , (2001)

3. Chauhan, R., Agarwal, P.: A review applying genetic algorithm for motif discovery. Int. J. Comput. Technol. Appl. 3(4), 1510–1515 (2012)

4. Falcon, F.L., Jeffrey, J.P., Tsai, R.C., Chen S.N., Shih, S.H.: FMGA: finding motifs by genetic algorithm. In: Bioinformatics and Bio-engineering. Bioinformatics and Bioengineering (BIBE) Proceedings Fourth IEEE Symposium, pp. 459–466, (2004)

5. Thijs, G., et al.: A higher-order background model improves the detection of promoter regulatory elements by Gibbs sampling. Bioinformatics 17(12), 1113–1122 (2001)

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