1 .TH "hmmemit" 1 @RELEASEDATE@ "HMMER @RELEASE@" "HMMER Manual"
5 hmmemit - generate sequences from a profile HMM
15 reads an HMM file from
17 containing one or more HMMs,
18 and generates a number of sequences from each HMM;
21 option is selected, generate a single majority-rule consensus.
22 This can be useful for various applications in which one needs a simulation
23 of sequences consistent with a sequence family consensus.
28 generates 10 sequences and outputs them in FASTA (unaligned) format.
34 Write the generated sequences in an aligned format (SELEX) rather than
39 Predict a single majority-rule consensus sequence instead of sampling
40 sequences from the HMM's probability distribution. Highly conserved
41 residues (p >= 0.9 for DNA, p >= 0.5 for protein) are shown in upper
42 case; others are shown in lower case. Some insert states may become
43 part of the majority rule consensus, because they are used in >= 50%
44 of generated sequences; when this happens, insert-generated residues
45 are simply shown as "x".
49 Print brief help; includes version number and summary of
50 all options, including expert options.
56 sequences. Default is 10.
60 Save the synthetic sequences to file
62 rather than writing them to stdout.
66 Quiet; suppress all output except for the sequences themselves.
67 Useful for piping or directing the output.
73 Set the random seed to
77 is a positive integer. The default is to use
79 to generate a different seed for each run, which
80 means that two different runs of
82 on the same HMM will give slightly different
84 this option to generate reproducible results.
91 Master man page, with full list of and guide to the individual man
95 A User guide and tutorial came with the distribution:
101 Finally, all documentation is also available online via WWW:
102 .B http://hmmer.wustl.edu/
106 This software and documentation is:
109 HMMER - Biological sequence analysis with profile HMMs
110 Copyright (C) 1992-1999 Washington University School of Medicine
113 This source code is distributed under the terms of the
114 GNU General Public License. See the files COPYING and LICENSE
117 See the file COPYING in your distribution for complete details.
121 HHMI/Dept. of Genetics
122 Washington Univ. School of Medicine
124 St Louis, MO 63110 USA
125 Phone: 1-314-362-7666
127 Email: eddy@genetics.wustl.edu