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Data Mining Techniques for Informative Motif Discovery
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 88 - Number 12 |
| Year of Publication: 2014 |
| Authors: Rashida Hasan, Jainal Uddin |
10.5120/15405-3901
|
Rashida Hasan, Jainal Uddin . Data Mining Techniques for Informative Motif Discovery. International Journal of Computer Applications. 88, 12 ( February 2014), 21-24. DOI=10.5120/15405-3901
Abstract
The discovery of motifs in biological sequence is a much explored and still exploring area of research in functional genomics since they control the expression or regulation of a group of genes involved in a similar cellular function. This paper explores the use of data mining techniques by various researchers as a solution to discover motifs in biological sequence. Although data mining techniques has not been applied extensively by researchers as compared to other algorithms. But in recent years data mining techniques has caused a wide attention by the researchers to find motifs in biological sequence. This paper is an attempt towards exploring the effectiveness of data mining techniques for motif discovery.
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