Hidden Markov models Sean
نویسنده
چکیده
I n t r o d u c t i o n Computational analysis is increasingly important for inferring the functions and structures of proteins [1] because the speed of D N A sequencing has long since surpassed the rate at which the biological function of sequences can be elucidated experimentally. Established sequence comparison algorithms detect significant similarities between known database sequences and 35-80% of new proteins, depending on the organism. Increasing this percentage is of the utmost importance. An increase of a single percentage point may mean learning something usefld about an additional 700 human proteins hv the time elucidation of the sequence of the human genomc nears completion round about the year 2002.
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