11 lines
524 B
Plaintext
11 lines
524 B
Plaintext
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HMMER is an implementation of profile HMM methods for sensitive database
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searches using multiple sequence alignments as queries.
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Basically, you give HMMER a multiple sequence alignment as input; it builds
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a statistical model called a "hidden Markov model" which you can then use as
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a query into a sequence database to find (and/or align) additional
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homologues of the sequence family.
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Hmmer is developed by Sean Eddy at Washington University School of Medicine.
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More information is available at http://hmmer.wustl.edu/
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