Enhanced Matrix Model for Finding Sequence Motif
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 1
Abstract
This paper presents a probabilistic approach to locate motifs in a given set of molecular sequences. Motif is a short sequence of DNA or RNA (or amino acids) which often consists of 5- 16 nucleotides. The methodology presented here is based on probabilistic approach (Likely Hood Ratio) with three wild card ocations to express motif locations and their poor, moderate nd good results on the basis of matches found is observed. The proposed method allows three displacement locations (i.e. 1, , & 11) unlike other motif finding techniques that allow only two displacement locations.
Authors and Affiliations
Pankaj Agarwal , Laxmikant Vishwamitra
Keywords
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