SlackBuilds Repository

14.2 > Academic > HMMER (3.1b2)

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

Maintained by: Petar Petrov
Keywords: hmmer,hidden Markov model,biosequence,bioinformatics,homology

Homepage:
http://hmmer.org/

Source Downloads:
hmmer-3.1b2.tar.gz (c8c141018bc0ccd7fc37b33f2b945d5f)

Download SlackBuild:
HMMER.tar.gz
HMMER.tar.gz.asc (FAQ)

(the SlackBuild does not include the source)

Individual Files:
HMMER.SlackBuild
HMMER.info
README
slack-desc

Validated for Slackware 14.2

See our HOWTO for instructions on how to use the contents of this repository.

Access to the repository is available via:
ftp git cgit http rsync

© 2006-2017 SlackBuilds.org Project. All rights reserved.
Slackware® is a registered trademark of Patrick Volkerding
Linux® is a registered trademark of Linus Torvalds
Web Design by WebSight Designs |  Managed Hosting by OnyxLight Communications