A comparative analysis of computational motif-detection methods.

J Hudak; M A Mcclure

doi:10.1142/9789814447300_0014

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A comparative analysis of computational motif-detection methods.

J Hudak·M A Mcclure

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Abstract

The detection of motifs within and among families of protein sequences can provide useful information regarding the function, structure and evolution of a protein. With the increasing number of computer programs available for motif detection, a comparative evaluation of the programs from a biological perspective is warranted. This study uses a set of 20 reverse transcriptase (RT) protein sequences to test and compare the ability of 7 different computational methods to locate the ordered-series-of-motifs that are well characterized in the RT sequences. The results provide insight to biologists as to the usage, value, and reliability of the numerous methods available.

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Algorithms Base Sequence Computational Biology Consensus Sequence Databases, Factual Genome, Fungal Molecular Sequence Data RNA-Directed DNA Polymerase Ribonuclease H Saccharomyces cerevisiae Sequence Alignment Software Comparative Study Journal Article Research Support, U.S. Gov't, P.H.S.

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J Hudak, M A Mcclure. 1999. A comparative analysis of computational motif-detection methods.. https://doi.org/10.1142/9789814447300_0014

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