man hmmpfam (Commandes) - search a single sequence against an HMM database
NAME
- hmmpfam - search a single sequence against an HMM database
SYNOPSIS
hmmpfam [options] hmmfile seqfile
DESCRIPTION
hmmpfam reads a single sequence from seqfile and compares it against all the HMMs in hmmfile looking for significantly similar sequence matches.
hmmfile will be looked for first in the current working directory, then in a directory named by the environment variable HMMERDB. This lets administrators install HMM library(s) such as Pfam in a common location.
The output consists of three sections: a ranked list of the best scoring HMMs, a list of the best scoring domains in order of their occurrence in the sequence, and alignments for all the best scoring domains. A sequence score may be higher than a domain score for the same sequence if there is more than one domain in the sequence; the sequence score takes into account all the domains. All sequences scoring above the -E and -T cutoffs are shown in the first list, then every domain found in this list is shown in the second list of domain hits. If desired, E-value and bit score thresholds may also be applied to the domain list using the --domE and --domT options.
OPTIONS
- -h
- Print brief help; includes version number and summary of all options, including expert options.
- -n
- Specify that models and sequence are nucleic acid, not protein. Other HMMER programs autodetect this; but because of the order in which hmmpfam accesses data, it can't reliably determine the correct "alphabet" by itself.
- -A <n>
- Limits the alignment output to the <n> best scoring domains. -A0 shuts off the alignment output and can be used to reduce the size of output files.
- -E <x>
- Set the E-value cutoff for the per-sequence ranked hit list to <x>, where <x> is a positive real number. The default is 10.0. Hits with E-values better than (less than) this threshold will be shown.
- -T <x>
- Set the bit score cutoff for the per-sequence ranked hit list to <x>, where <x> is a real number. The default is negative infinity; by default, the threshold is controlled by E-value and not by bit score. Hits with bit scores better than (greater than) this threshold will be shown.
- -Z <n>
- Calculate the E-value scores as if we had seen a sequence database of <n> sequences. The default is arbitrarily set to 59021, the size of Swissprot 34.
EXPERT OPTIONS
- --cpu <n>
- Sets the maximum number of CPUs that the program will run on. The default is to use all CPUs in the machine. Overrides the HMMER_NCPU environment variable. Only affects threaded versions of HMMER (the default on most systems).
- --domE <x>
- Set the E-value cutoff for the per-domain ranked hit list to <x>, where <x> is a positive real number. The default is infinity; by default, all domains in the sequences that passed the first threshold will be reported in the second list, so that the number of domains reported in the per-sequence list is consistent with the number that appear in the per-domain list.
- --domT <x>
- Set the bit score cutoff for the per-domain ranked hit list to <x>, where <x> is a real number. The default is negative infinity; by default, all domains in the sequences that passed the first threshold will be reported in the second list, so that the number of domains reported in the per-sequence list is consistent with the number that appear in the per-domain list. Important note: only one domain in a sequence is absolutely controlled by this parameter, or by --domT. The second and subsequent domains in a sequence have a de facto bit score threshold of 0 because of the details of how HMMER works. HMMER requires at least one pass through the main model per sequence; to do more than one pass (more than one domain) the multidomain alignment must have a better score than the single domain alignment, and hence the extra domains must contribute positive score. See the Users' Guide for more detail.
- --forward
- Use the Forward algorithm instead of the Viterbi algorithm to determine the per-sequence scores. Per-domain scores are still determined by the Viterbi algorithm. Some have argued that Forward is a more sensitive algorithm for detecting remote sequence homologues; my experiments with HMMER have not confirmed this, however.
- --null2
- Turn off the post hoc second null model. By default, each alignment is rescored by a postprocessing step that takes into account possible biased composition in either the HMM or the target sequence. This is almost essential in database searches, especially with local alignment models. There is a very small chance that this postprocessing might remove real matches, and in these cases --null2 may improve sensitivity at the expense of reducing specificity by letting biased composition hits through.
- --pvm
- Run on a Parallel Virtual Machine (PVM). The PVM must already be running. The client program hmmpfam-pvm must be installed on all the PVM nodes. The HMM database hmmfile and an associated GSI index file hmmfile.gsi must also be installed on all the PVM nodes. (The GSI index is produced by the program hmmindex.) Because the PVM implementation is I/O bound, it is highly recommended that each node have a local copy of hmmfile rather than NFS mounting a shared copy. Optional PVM support must have been compiled into HMMER for --pvm to function.
- --xnu
- Turn on XNU filtering of target protein sequences. Has no effect on nucleic acid sequences. In trial experiments, --xnu appears to perform less well than the default post hoc null2 model.
SEE ALSO
hmmalign hmmbuild hmmcalibrate hmmconvert hmmemit hmmfetch hmmindex hmmpfam hmmsearch
User guide and tutorial: Userguide.ps
WWW: http://hmmer.wustl.edu/
AUTHOR
This software and documentation is Copyright (C) 1992-1998 Washington University School of Medicine. It is freely distributable under terms of the GNU General Public License. See COPYING in the source code distribution for more details, or contact me.
Sean Eddy Dept. of Genetics Washington Univ. School of Medicine 4566 Scott Ave. St Louis, MO 63110 USA Phone: 1-314-362-7666 FAX : 1-314-362-7855 Email: eddy@genetics.wustl.edu