Provided by: hmmer_3.3+dfsg2-1_amd64 
NAME
hmmbuild - construct profiles from multiple sequence alignments
SYNOPSIS
hmmbuild [options] hmmfile msafile
DESCRIPTION
For each multiple sequence alignment in msafile build a profile HMM and save it to a new file hmmfile.
msafile may be '-' (dash), which means reading this input from stdin rather than a file.
hmmfile may not be '-' (stdout), because sending the HMM file to stdout would conflict with the other
text output of the program.
OPTIONS
-h Help; print a brief reminder of command line usage and all available options.
-n <s> Name the new profile <s>. The default is to use the name of the alignment (if one is present in
the msafile, or, failing that, the name of the hmmfile. If msafile contains more than one
alignment, -n doesn't work, and every alignment must have a name annotated in the msafile (as in
Stockholm #=GF ID annotation).
-o <f> Direct the summary output to file <f>, rather than to stdout.
-O <f> After each model is constructed, resave annotated, possibly modified source alignments to a file
<f> in Stockholm format. The alignments are annotated with a reference annotation line indicating
which columns were assigned as consensus, and sequences are annotated with what relative sequence
weights were assigned. Some residues of the alignment may have been shifted to accommodate
restrictions of the Plan7 profile architecture, which disallows transitions between insert and
delete states.
OPTIONS FOR SPECIFYING THE ALPHABET
--amino
Assert that sequences in msafile are protein, bypassing alphabet autodetection.
--dna Assert that sequences in msafile are DNA, bypassing alphabet autodetection.
--rna Assert that sequences in msafile are RNA, bypassing alphabet autodetection.
OPTIONS CONTROLLING PROFILE CONSTRUCTION
These options control how consensus columns are defined in an alignment.
--fast Define consensus columns as those that have a fraction >= symfrac of residues as opposed to gaps.
(See below for the --symfrac option.) This is the default.
--hand Define consensus columns in next profile using reference annotation to the multiple alignment.
This allows you to define any consensus columns you like.
--symfrac <x>
Define the residue fraction threshold necessary to define a consensus column when using the --fast
option. The default is 0.5. The symbol fraction in each column is calculated after taking relative
sequence weighting into account, and ignoring gap characters corresponding to ends of sequence
fragments (as opposed to internal insertions/deletions). Setting this to 0.0 means that every
alignment column will be assigned as consensus, which may be useful in some cases. Setting it to
1.0 means that only columns that include 0 gaps (internal insertions/deletions) will be assigned
as consensus.
--fragthresh <x>
We only want to count terminal gaps as deletions if the aligned sequence is known to be full-
length, not if it is a fragment (for instance, because only part of it was sequenced). HMMER uses
a simple rule to infer fragments: if the range of a sequence in the alignment (the number of
alignment columns between the first and last positions of the sequence) is less than or equal to a
fraction <x> times the alignment length in columns, then the sequence is handled as a fragment.
The default is 0.5. Setting --fragthresh 0 will define no (nonempty) sequence as a fragment; you
might want to do this if you know you've got a carefully curated alignment of full-length
sequences. Setting --fragthresh 1 will define all sequences as fragments; you might want to do
this if you know your alignment is entirely composed of fragments, such as translated short reads
in metagenomic shotgun data.
OPTIONS CONTROLLING RELATIVE WEIGHTS
HMMER uses an ad hoc sequence weighting algorithm to downweight closely related sequences and upweight
distantly related ones. This has the effect of making models less biased by uneven phylogenetic
representation. For example, two identical sequences would typically each receive half the weight that
one sequence would. These options control which algorithm gets used.
--wpb Use the Henikoff position-based sequence weighting scheme [Henikoff and Henikoff, J. Mol. Biol.
243:574, 1994]. This is the default.
--wgsc Use the Gerstein/Sonnhammer/Chothia weighting algorithm [Gerstein et al, J. Mol. Biol. 235:1067,
1994].
--wblosum
Use the same clustering scheme that was used to weight data in calculating BLOSUM subsitution
matrices [Henikoff and Henikoff, Proc. Natl. Acad. Sci 89:10915, 1992]. Sequences are single-
linkage clustered at an identity threshold (default 0.62; see --wid) and within each cluster of c
sequences, each sequence gets relative weight 1/c.
--wnone
No relative weights. All sequences are assigned uniform weight.
--wid <x>
Sets the identity threshold used by single-linkage clustering when using --wblosum. Invalid with
any other weighting scheme. Default is 0.62.
OPTIONS CONTROLLING EFFECTIVE SEQUENCE NUMBER
After relative weights are determined, they are normalized to sum to a total effective sequence number,
eff_nseq. This number may be the actual number of sequences in the alignment, but it is almost always
smaller than that. The default entropy weighting method (--eent) reduces the effective sequence number
to reduce the information content (relative entropy, or average expected score on true homologs) per
consensus position. The target relative entropy is controlled by a two-parameter function, where the two
parameters are settable with --ere and --esigma.
--eent Adjust effective sequence number to achieve a specific relative entropy per position (see --ere).
This is the default.
--eclust
Set effective sequence number to the number of single-linkage clusters at a specific identity
threshold (see --eid). This option is not recommended; it's for experiments evaluating how much
better --eent is.
--enone
Turn off effective sequence number determination and just use the actual number of sequences. One
reason you might want to do this is to try to maximize the relative entropy/position of your
model, which may be useful for short models.
--eset <x>
Explicitly set the effective sequence number for all models to <x>.
--ere <x>
Set the minimum relative entropy/position target to <x>. Requires --eent. Default depends on the
sequence alphabet. For protein sequences, it is 0.59 bits/position; for nucleotide sequences, it
is 0.45 bits/position.
--esigma <x>
Sets the minimum relative entropy contributed by an entire model alignment, over its whole length.
This has the effect of making short models have higher relative entropy per position than --ere
alone would give. The default is 45.0 bits.
--eid <x>
Sets the fractional pairwise identity cutoff used by single linkage clustering with the --eclust
option. The default is 0.62.
OPTIONS CONTROLLING PRIORS
By default, weighted counts are converted to mean posterior probability parameter estimates using mixture
Dirichlet priors. Default mixture Dirichlet prior parameters for protein models and for nucleic acid
(RNA and DNA) models are built in. The following options allow you to override the default priors.
--pnone
Don't use any priors. Probability parameters will simply be the observed frequencies, after
relative sequence weighting.
--plaplace
Use a Laplace +1 prior in place of the default mixture Dirichlet prior.
OPTIONS CONTROLLING SINGLE SEQUENCE SCORING
By default, if a query is a single sequence from a file in fasta format, hmmbuild constructs a search
model from that sequence and a standard 20x20 substitution matrix for residue probabilities, along with
two additional parameters for position-independent gap open and gap extend probabilities. These options
allow the default single-sequence scoring parameters to be changed, and for single-sequence scoring
options to be applied to a single sequence coming from an aligned format.
--singlemx
If a single sequence query comes from a multiple sequence alignment file, such as in stockholm
format, the search model is by default constructed as is typically done for multiple sequence
alignments. This option forces hmmbuild to use the single-sequence method with substitution score
matrix.
--mx <s>
Obtain residue alignment probabilities from the built-in substitution matrix named <s>. Several
standard matrices are built-in, and do not need to be read from files. The matrix name <s> can be
PAM30, PAM70, PAM120, PAM240, BLOSUM45, BLOSUM50, BLOSUM62, BLOSUM80, BLOSUM90, or DNA1. Only one
of the --mx and --mxfile options may be used.
--mxfile <mxfile>
Obtain residue alignment probabilities from the substitution matrix in file <mxfile>. The default
score matrix is BLOSUM62 for protein sequences, and DNA1 for nucleotide sequences (these matrices
are internal to HMMER and do not need to be available as a file). The format of a substitution
matrix <mxfile> is the standard format accepted by BLAST, FASTA, and other sequence analysis
software. See ftp.ncbi.nlm.nih.gov/blast/matrices/ for example files. (The only exception: we
require matrices to be square, so for DNA, use files like NCBI's NUC.4.4, not NUC.4.2.)
--popen <x>
Set the gap open probability for a single sequence query model to <x>. The default is 0.02. <x>
must be >= 0 and < 0.5.
--pextend <x>
Set the gap extend probability for a single sequence query model to <x>. The default is 0.4. <x>
must be >= 0 and < 1.0.
OPTIONS CONTROLLING E-VALUE CALIBRATION
The location parameters for the expected score distributions for MSV filter scores, Viterbi filter
scores, and Forward scores require three short random sequence simulations.
--EmL <n>
Sets the sequence length in simulation that estimates the location parameter mu for MSV filter E-
values. Default is 200.
--EmN <n>
Sets the number of sequences in simulation that estimates the location parameter mu for MSV filter
E-values. Default is 200.
--EvL <n>
Sets the sequence length in simulation that estimates the location parameter mu for Viterbi filter
E-values. Default is 200.
--EvN <n>
Sets the number of sequences in simulation that estimates the location parameter mu for Viterbi
filter E-values. Default is 200.
--EfL <n>
Sets the sequence length in simulation that estimates the location parameter tau for Forward E-
values. Default is 100.
--EfN <n>
Sets the number of sequences in simulation that estimates the location parameter tau for Forward
E-values. Default is 200.
--Eft <x>
Sets the tail mass fraction to fit in the simulation that estimates the location parameter tau for
Forward evalues. Default is 0.04.
OTHER OPTIONS
--cpu <n>
Set the number of parallel worker threads to <n>. On multicore machines, the default is 2. You
can also control this number by setting an environment variable, HMMER_NCPU. There is also a
master thread, so the actual number of threads that HMMER spawns is <n>+1.
This option is not available if HMMER was compiled with POSIX threads support turned off.
--informat <s>
Assert that input msafile is in alignment format <s>, bypassing format autodetection. Common
choices for <s> include: stockholm, a2m, afa, psiblast, clustal, phylip. For more information,
and for codes for some less common formats, see main documentation. The string <s> is case-
insensitive (a2m or A2M both work).
--seed <n>
Seed the random number generator with <n>, an integer >= 0. If <n> is nonzero, any stochastic
simulations will be reproducible; the same command will give the same results. If <n> is 0, the
random number generator is seeded arbitrarily, and stochastic simulations will vary from run to
run of the same command. The default seed is 42.
--w_beta <x>
Window length tail mass. The upper bound, W, on the length at which nhmmer expects to find an
instance of the model is set such that the fraction of all sequences generated by the model with
length >= W is less than <x>. The default is 1e-7.
--w_length <n>
Override the model instance length upper bound, W, which is otherwise controlled by --w_beta. It
should be larger than the model length. The value of W is used deep in the acceleration pipeline,
and modest changes are not expected to impact results (though larger values of W do lead to longer
run time).
--mpi Run as a parallel MPI program. Each alignment is assigned to a MPI worker node for construction.
(Therefore, the maximum parallelization cannot exceed the number of alignments in the input
msafile.) This is useful when building large profile libraries. This option is only available if
optional MPI capability was enabled at compile-time.
--stall
For debugging MPI parallelization: arrest program execution immediately after start, and wait for
a debugger to attach to the running process and release the arrest.
--maxinsertlen <n>
Restrict insert length parameterization such that the expected insert length at each position of
the model is no more than <n>.
SEE ALSO
See hmmer(1) for a master man page with a list of all the individual man pages for programs in the HMMER
package.
For complete documentation, see the user guide that came with your HMMER distribution (Userguide.pdf); or
see the HMMER web page (http://hmmer.org/).
COPYRIGHT
Copyright (C) 2019 Howard Hughes Medical Institute.
Freely distributed under the BSD open source license.
For additional information on copyright and licensing, see the file called COPYRIGHT in your HMMER source
distribution, or see the HMMER web page (http://hmmer.org/).
AUTHOR
http://eddylab.org