Article,

HMM’S INTERPOLATION OF PROTIENS FOR PROFILE ANALYSIS

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International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), 1 (3): 01-10 (August 2011)
DOI: 10.5121/ijcseit.2011.1301

Abstract

HMM has found its application in almost every field. Applying Hmm to biological sequences has its own advantages. HMM’s being more systematic and specific, yield a result better than consensus techniques. Profile HMMs use position specific scoring for the matching & substitution of a residue and for the opening or extension of a gap. HMMs apply a statistical method to estimate the true frequency of a residue at a given position in the alignment from its observed frequency while standard profiles use the observed frequency itself to assign the score for that residue. This means that a profile HMM derived from only 10 to 20 aligned sequences can be of equivalent quality to a standard profile created from 40 to 50 aligned sequences.

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