FreeBSD Manual Pages
hmmbuild(1) HMMER Manual hmmbuild(1) 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 mod- ified source alignments to a file _f_ in Stockholm format. The alignments are annotated with a reference annotation line indi- cating 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 accommo- date restrictions of the Plan7 profile architecture, which dis- allows 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 au- todetection. --rna Assert that sequences in msafile are RNA, bypassing alphabet au- todetection. OPTIONS CONTROLLING PROFILE CONSTRUCTION These options control how consensus columns are defined in an align- ment. --fast Define consensus columns as those that have a fraction >= sym- frac of residues as opposed to gaps. (See below for the --sym- frac option.) This is the default. --hand Define consensus columns in next profile using reference annota- tion 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 con- sensus 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 char- acters 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 se- quence 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 ef- fect of making models less biased by uneven phylogenetic representa- tion. 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 [Ger- stein 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 ac- tual number of sequences in the alignment, but it is almost always smaller than that. The default entropy weighting method (--eent) re- duces the effective sequence number to reduce the information content (relative entropy, or average expected score on true homologs) per con- sensus position. The target relative entropy is controlled by a two-pa- rameter 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 op- tion 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_. Re- quires --eent. Default depends on the sequence alphabet. For protein sequences, it is 0.59 bits/position; for nucleotide se- quences, 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 over- ride 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 for- mat, hmmbuild constructs a search model from that sequence and a stan- dard 20x20 substitution matrix for residue probabilities, along with two additional parameters for position-independent gap open and gap ex- tend probabilities. These options allow the default single-sequence scoring parameters to be changed, and for single-sequence scoring op- tions to be applied to a single sequence coming from an aligned format. --singlemx If a single sequence query comes from a multiple sequence align- ment 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-se- quence method with substitution score matrix. --mx _s_ Obtain residue alignment probabilities from the built-in substi- tution 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, BLO- SUM62, BLOSUM80, BLOSUM90, or DNA1. Only one of the --mx and --mxfile options may be used. --mxfile _mxfile_ Obtain residue alignment probabilities from the substitution ma- trix in file _mxfile_. The default score matrix is BLOSUM62 for protein sequences, and DNA1 for nucleotide sequences (these ma- trices 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 loca- tion 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 loca- tion 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 loca- tion 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 esti- mates 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: stock- holm, a2m, afa, psiblast, clustal, phylip. For more informa- tion, and for codes for some less common formats, see main docu- mentation. 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 oth- erwise 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 paral- lelization 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 en- abled at compile-time. --stall For debugging MPI parallelization: arrest program execution im- mediately 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 HM- MER distribution (Userguide.pdf); or see the HMMER web page (http://hm- mer.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 HMMER 3.3 Nov 2019 hmmbuild(1)
NAME | SYNOPSIS | DESCRIPTION | OPTIONS | OPTIONS FOR SPECIFYING THE ALPHABET | OPTIONS CONTROLLING PROFILE CONSTRUCTION | OPTIONS CONTROLLING RELATIVE WEIGHTS | OPTIONS CONTROLLING EFFECTIVE SEQUENCE NUMBER | OPTIONS CONTROLLING PRIORS | OPTIONS CONTROLLING SINGLE SEQUENCE SCORING | OPTIONS CONTROLLING E-VALUE CALIBRATION | OTHER OPTIONS | SEE ALSO | COPYRIGHT | AUTHOR
Want to link to this manual page? Use this URL:
<https://man.freebsd.org/cgi/man.cgi?query=hmmbuild&sektion=1&manpath=FreeBSD+13.0-RELEASE+and+Ports>