Árbore:
331a473f1a
11.0
12.0
12.1
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13.0
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14.0
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bedlam
bedlam-name-fixes
dive
erik
gitignore
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master
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python-renames
rworkman
urchlay
user/aclemons/updates
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user/anddt/misc/discount
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user/anddt/network/sshguard
user/anddt/network/strongswan
user/anddt/network/umurmur
user/anddt/network/yt-dlp
user/anddt/network/znc
user/anddt/office/gnumeric
user/anddt/office/sigil
user/anddt/system/FontAwesome
user/anddt/system/conky
user/anddt/system/fakeroot
user/anddt/system/hplip-plugin
user/anddt/system/postgresql
user/anddt/system/testdisk
user/anddt/system/worker
user/anddt/system/xen
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user/chris.willing/updates
user/dslackw/updates
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user/ponce/updates
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willysr
wxWidgets-wip
GPG-KEY
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Heinz Wiesinger
63daf9f79a
All: Support $PRINT_PACKAGE_NAME env var
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%!s(int64=3) %!d(string=hai) anos | |
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| .. | ||
| HMMER.SlackBuild | 63daf9f79a All: Support $PRINT_PACKAGE_NAME env var | %!s(int64=3) %!d(string=hai) anos |
| HMMER.info | 290c94b3ad academic/HMMER: update for version 3.3.2 | %!s(int64=3) %!d(string=hai) anos |
| README | baca6beb0c academic/HMMER: Added (biosequence analysis). | %!s(int64=8) %!d(string=hai) anos |
| slack-desc | baca6beb0c academic/HMMER: Added (biosequence analysis). | %!s(int64=8) %!d(string=hai) anos |
README
HMMER: biosequence analysis using profile hidden Markov models
HMMER is used for searching sequence databases for sequence homologs,
and for making sequence alignments. It implements methods using
probabilistic models called profile hidden Markov models (profile HMMs).
HMMER is often used together with a profile database, such as Pfam or
many of the databases that participate in Interpro. But HMMER can also
work with query sequences, not just profiles, just like BLAST. For
example, you can search a protein query sequence against a database with
phmmer, or do an iterative search with jackhmmer.
HMMER is designed to detect remote homologs as sensitively as possible,
relying on the strength of its underlying probability models. In the
past, this strength came at significant computational expense, but as
of the new HMMER3 project, HMMER is now essentially as fast as BLAST.
Publications:
http://hmmer.org/publications.html
HMMER is used for searching sequence databases for sequence homologs,
and for making sequence alignments. It implements methods using
probabilistic models called profile hidden Markov models (profile HMMs).
HMMER is often used together with a profile database, such as Pfam or
many of the databases that participate in Interpro. But HMMER can also
work with query sequences, not just profiles, just like BLAST. For
example, you can search a protein query sequence against a database with
phmmer, or do an iterative search with jackhmmer.
HMMER is designed to detect remote homologs as sensitively as possible,
relying on the strength of its underlying probability models. In the
past, this strength came at significant computational expense, but as
of the new HMMER3 project, HMMER is now essentially as fast as BLAST.
Publications:
http://hmmer.org/publications.html