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HMMER - Hidden Markov models for protein and nucleic acid sequence analysis version 1.8.4 (July 1997) Sean Eddy Dept. of Genetics Washington University School of Medicine, St. Louis, Missouri, USA ------------------------------------------------------------------- o What are hidden Markov models? Hidden Markov models (HMMs) can be used to do multiple sequence alignment and database searching, using statistical descriptions of a sequence family's consensus. They can align very large numbers of sequences (thousands). Database search sensitivity is, in many cases, as sensitive as structure-based "inverse folding" methods such as threading. o About this software... HMMER is an implementation of the HMM methods described by Anders Krogh et al. (David Haussler's group at UC Santa Cruz) for hidden Markov modeling of biological sequences. It also includes a number of new ideas from our group (Sean Eddy, Graeme Mitchison, and Richard Durbin). HMMER is used at the Sanger Centre (Cambridge, UK) and the Genome Sequencing Center (St. Louis, USA) for analysis of C. elegans, human, and yeast genome sequence data and predicted proteins. o Getting HMMER HMMER source code can be obtained from ftp://genome.wustl.edu/pub/eddy/ A World Wide Web page for source code and on-line hypertext documentation is at http://genome.wustl.edu/eddy/hmm.html. The code is ANSI C and is known to be portable to most (all?) UNIX platforms, including SunOS, Sun Solaris, Silicon Graphics IRIX, DEC OSF/1, DEC Ultrix, and Alliant Concentrix. There are few UNIX-specific calls. Volunteers to do a Mac or PC port are welcome. You may also wish to compare similar software from the Haussler group at UC Santa Cruz. Their implementation, SAM, is available from ftp://ftp.cse.ucsc.edu/pub/protein. o Installing HMMER Please read the following files: INSTALL -- detailed instructions for installing the programs COPYING -- copyright notice, and information on my distribution policy GNULICENSE -- Gnu Public License, version 2 (see COPYING) RELEASE-1.8 -- Release notes Print out the user's guide, Userguide.ps. It is in PostScript. o Registering HMMER If you want to hear about new releases, send me email and I will add you to the HMMER mailing list. My email address is [email protected]. o Reporting bugs These programs are under active development. Though this release has been tested and appears to be stable, bugs may crop up. If you use these programs, please help me out and e-mail me with suggestions, comments, and bug reports. ([email protected]) o References D. Haussler, A. Krogh, S. Mian, K. Sjolander. "Protein Modeling Using Hidden Markov Models", C.I.S. Technical Report UCSC-CRL-92-23, University of California at Santa Cruz, 1992. A. Krogh, M. Brown. I.S. Mian, K. Sjolander, D. Haussler. "Hidden Markov Models in Computational Biology: Applications to Protein Modeling", J. Mol. Biol. 235:1501-1531, 1994. P. Baldi, Y. Chauvin, and T. Hunkapiller. "Hidden Markov Models of Biological Primary Sequence Information", PNAS 91:1059-1063, 1994. L.R. Rabiner. "A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition", Proc. IEEE 77:257-286, 1989. S.R. Eddy, G. Mitchison, R. Durbin. "Maximum Discrimination Hidden Markov Models of Sequence Consensus", J. Computational Biology, 2:9-23, 1995. S.R. Eddy, "Multiple Alignment Using Hidden Markov Models", Proc. Third Int. Conf. Intelligent Systems for Molecular Biology, Rawlings et al., ed., pp. 114-120, 1995. S.R. Eddy, "Hidden Markov Models", Current Opinion in Structural Biology, 6:361-365, 1996.
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