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A software toolkit for building motif-based
hidden Markov models ("HMM") of families of
related DNA or protein sequences. It combines
multiple motif models created by MEME into a single
HMM. This HMM can be trained (by the software)
via expectation-maximization, and the resulting trained
model can be used to produce a motif based multiple
sequence alignment and search a protein database for
homologs.
Further information about Meta-MEME
can be found at the web address, www.sdsc.edu/Software.
Click on "Molecular Biology Software".
Case Number: SD1999-809
INQUIRIES TO: invent@ucsd.edu
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