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hmmscan(1) HMMER Manual hmmscan(1) NAME hmmscan - search sequence(s) against a profile database SYNOPSIS hmmscan [options] hmmdb seqfile DESCRIPTION hmmscan is used to search protein sequences against collections of pro- tein profiles. For each sequence in seqfile, use that query sequence to search the target database of profiles in hmmdb, and output ranked lists of the profiles with the most significant matches to the se- quence. The seqfile may contain more than one query sequence. Each will be searched in turn against hmmdb. The hmmdb needs to be press'ed using hmmpress before it can be searched with hmmscan. This creates four binary files, suffixed .h3{fimp}. The query seqfile may be '-' (a dash character), in which case the query sequences are read from a stdin pipe instead of from a file. The hmmdb cannot be read from a stdin stream, because it needs to have those four auxiliary binary files generated by hmmpress. The output format is designed to be human-readable, but is often so vo- luminous that reading it is impractical, and parsing it is a pain. The --tblout and --domtblout options save output in simple tabular formats that are concise and easier to parse. The -o option allows redirecting the main output, including throwing it away in /dev/null. OPTIONS -h Help; print a brief reminder of command line usage and all available options. OPTIONS FOR CONTROLLING OUTPUT -o <f> Direct the main human-readable output to a file <f> instead of the default stdout. --tblout <f> Save a simple tabular (space-delimited) file summarizing the per-target output, with one data line per homologous target model found. --domtblout <f> Save a simple tabular (space-delimited) file summarizing the per-domain output, with one data line per homologous domain de- tected in a query sequence for each homologous model. --pfamtblout <f> Save an especially succinct tabular (space-delimited) file sum- marizing the per-target output, with one data line per homolo- gous target model found. --acc Use accessions instead of names in the main output, where avail- able for profiles and/or sequences. --noali Omit the alignment section from the main output. This can greatly reduce the output volume. --notextw Unlimit the length of each line in the main output. The default is a limit of 120 characters per line, which helps in displaying the output cleanly on terminals and in editors, but can truncate target profile description lines. --textw <n> Set the main output's line length limit to <n> characters per line. The default is 120. OPTIONS FOR REPORTING THRESHOLDS Reporting thresholds control which hits are reported in output files (the main output, --tblout, and --domtblout). -E <x> In the per-target output, report target profiles with an E-value of <= <x>. The default is 10.0, meaning that on average, about 10 false positives will be reported per query, so you can see the top of the noise and decide for yourself if it's really noise. -T <x> Instead of thresholding per-profile output on E-value, instead report target profiles with a bit score of >= <x>. --domE <x> In the per-domain output, for target profiles that have already satisfied the per-profile reporting threshold, report individual domains with a conditional E-value of <= <x>. The default is 10.0. A conditional E-value means the expected number of addi- tional false positive domains in the smaller search space of those comparisons that already satisfied the per-profile report- ing threshold (and thus must have at least one homologous domain already). --domT <x> Instead of thresholding per-domain output on E-value, instead report domains with a bit score of >= <x>. OPTIONS FOR INCLUSION THRESHOLDS Inclusion thresholds are stricter than reporting thresholds. Inclusion thresholds control which hits are considered to be reliable enough to be included in an output alignment or a subsequent search round. In hmmscan, which does not have any alignment output (like hmmsearch or phmmer) nor any iterative search steps (like jackhmmer), inclusion thresholds have little effect. They only affect what domains get marked as significant (!) or questionable (?) in domain output. --incE <x> Use an E-value of <= <x> as the per-target inclusion threshold. The default is 0.01, meaning that on average, about 1 false pos- itive would be expected in every 100 searches with different query sequences. --incT <x> Instead of using E-values for setting the inclusion threshold, instead use a bit score of >= <x> as the per-target inclusion threshold. It would be unusual to use bit score thresholds with hmmscan, because you don't expect a single score threshold to work for different profiles; different profiles have slightly different expected score distributions. --incdomE <x> Use a conditional E-value of <= <x> as the per-domain inclusion threshold, in targets that have already satisfied the overall per-target inclusion threshold. The default is 0.01. --incdomT <x> Instead of using E-values, instead use a bit score of >= <x> as the per-domain inclusion threshold. As with --incT above, it would be unusual to use a single bit score threshold in hmmscan. OPTIONS FOR MODEL-SPECIFIC SCORE THRESHOLDING Curated profile databases may define specific bit score thresholds for each profile, superseding any thresholding based on statistical signif- icance alone. To use these options, the profile must contain the appropriate (GA, TC, and/or NC) optional score threshold annotation; this is picked up by hmmbuild from Stockholm format alignment files. Each thresholding op- tion has two scores: the per-sequence threshold <x1> and the per-domain threshold <x2>. These act as if -T <x1> --incT <x1> --domT <x2> --inc- domT <x2> has been applied specifically using each model's curated thresholds. --cut_ga Use the GA (gathering) bit scores in the model to set per-se- quence (GA1) and per-domain (GA2) reporting and inclusion thresholds. GA thresholds are generally considered to be the re- liable curated thresholds defining family membership; for exam- ple, in Pfam, these thresholds define what gets included in Pfam Full alignments based on searches with Pfam Seed models. --cut_nc Use the NC (noise cutoff) bit score thresholds in the model to set per-sequence (NC1) and per-domain (NC2) reporting and inclu- sion thresholds. NC thresholds are generally considered to be the score of the highest-scoring known false positive. --cut_tc Use the NC (trusted cutoff) bit score thresholds in the model to set per-sequence (TC1) and per-domain (TC2) reporting and inclu- sion thresholds. TC thresholds are generally considered to be the score of the lowest-scoring known true positive that is above all known false positives. CONTROL OF THE ACCELERATION PIPELINE HMMER3 searches are accelerated in a three-step filter pipeline: the MSV filter, the Viterbi filter, and the Forward filter. The first fil- ter is the fastest and most approximate; the last is the full Forward scoring algorithm. There is also a bias filter step between MSV and Viterbi. Targets that pass all the steps in the acceleration pipeline are then subjected to postprocessing -- domain identification and scor- ing using the Forward/Backward algorithm. Changing filter thresholds only removes or includes targets from con- sideration; changing filter thresholds does not alter bit scores, E- values, or alignments, all of which are determined solely in postpro- cessing. --max Turn off all filters, including the bias filter, and run full Forward/Backward postprocessing on every target. This increases sensitivity somewhat, at a large cost in speed. --F1 <x> Set the P-value threshold for the MSV filter step. The default is 0.02, meaning that roughly 2% of the highest scoring nonho- mologous targets are expected to pass the filter. --F2 <x> Set the P-value threshold for the Viterbi filter step. The de- fault is 0.001. --F3 <x> Set the P-value threshold for the Forward filter step. The de- fault is 1e-5. --nobias Turn off the bias filter. This increases sensitivity somewhat, but can come at a high cost in speed, especially if the query has biased residue composition (such as a repetitive sequence region, or if it is a membrane protein with large regions of hy- drophobicity). Without the bias filter, too many sequences may pass the filter with biased queries, leading to slower than ex- pected performance as the computationally intensive For- ward/Backward algorithms shoulder an abnormally heavy load. OTHER OPTIONS --nonull2 Turn off the null2 score corrections for biased composition. -Z <x> Assert that the total number of targets in your searches is <x>, for the purposes of per-sequence E-value calculations, rather than the actual number of targets seen. --domZ <x> Assert that the total number of targets in your searches is <x>, for the purposes of per-domain conditional E-value calculations, rather than the number of targets that passed the reporting thresholds. --seed <n> Set the random number seed to <n>. Some steps in postprocessing require Monte Carlo simulation. The default is to use a fixed seed (42), so that results are exactly reproducible. Any other positive integer will give different (but also reproducible) re- sults. A choice of 0 uses an arbitrarily chosen seed. --qformat <s> Assert that input seqfile is in format <s>, bypassing format au- todetection. Common choices for <s> include: fasta, embl, gen- bank. Alignment formats also work; common choices include: stockholm, a2m, afa, psiblast, clustal, phylip. For more infor- mation, and for codes for some less common formats, see main documentation. The string <s> is case-insensitive (fasta or FASTA both work). --cpu <n> Set the number of parallel worker threads to <n>. The default is 0, meaning off (no thread-level parallelization), because hmmscan is typically i/o bound and the extra overhead of our current multithreaded implementation isn't worthwhile. You can also control this number by setting an environment variable, HM- MER_NCPU. There is also a master thread, so the actual number of threads that HMMER spawns is at least <n>+1. This option is not available if HMMER was compiled with POSIX threads support turned off. --stall For debugging the MPI master/worker version: pause after start, to enable the developer to attach debuggers to the running mas- ter and worker(s) processes. Send SIGCONT signal to release the pause. (Under gdb: (gdb) signal SIGCONT) (Only available if optional MPI support was enabled at compile- time.) --mpi Run under MPI control with master/worker parallelization (using mpirun, for example, or equivalent). Only available if optional MPI support was enabled at compile-time. 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) 2023 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 3.4 Aug 2023 hmmscan(1)
NAME | SYNOPSIS | DESCRIPTION | OPTIONS | OPTIONS FOR CONTROLLING OUTPUT | OPTIONS FOR REPORTING THRESHOLDS | OPTIONS FOR INCLUSION THRESHOLDS | OPTIONS FOR MODEL-SPECIFIC SCORE THRESHOLDING | CONTROL OF THE ACCELERATION PIPELINE | OTHER OPTIONS | SEE ALSO | COPYRIGHT | AUTHOR
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