prodigal_2.6.1-1_i386.deb


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Description

prodigal - Microbial (bacterial and archaeal) gene finding program

Property Value
Distribution Debian 8 (Jessie)
Repository Debian Main i386
Package name prodigal
Package version 2.6.1
Package release 1
Package architecture i386
Package type deb
Installed size 12.12 KB
Download size 891.53 KB
Official Mirror ftp.br.debian.org
Prodigal (Prokaryotic Dynamic Programming Genefinding Algorithm) is a
microbial (bacterial and archaeal) gene finding program developed at
Oak Ridge National Laboratory and the University of Tennessee.
Key features of Prodigal include:
Speed: Prodigal is an extremely fast gene recognition tool
(written in very vanilla C). It can analyze an entire microbial genome
in 30 seconds or less.
Accuracy: Prodigal is a highly accurate gene finder.
It correctly locates the 3' end of every gene in the experimentally verified
Ecogene data set (except those containing introns).
It possesses a very sophisticated ribosomal binding site scoring system that
enables it to locate the translation initiation site with great accuracy
(96% of the 5' ends in the Ecogene data set are located correctly).
Specificity: Prodigal's false positive rate compares favorably with other
gene identification programs, and usually falls under 5%.
GC-Content Indifferent: Prodigal performs well even in high GC genomes,
with over a 90% perfect match (5'+3') to the Pseudomonas aeruginosa curated
annotations.
Metagenomic Version: Prodigal can run in metagenomic mode and analyze
sequences even when the organism is unknown.
Ease of Use: Prodigal can be run in one step on a single genomic sequence
or on a draft genome containing many sequences. It does not need to be
supplied with any knowledge of the organism, as it learns all the properties
it needs to on its own.

Alternatives

Package Version Architecture Repository
prodigal_2.6.1-1_amd64.deb 2.6.1 amd64 Debian Main
prodigal - - -

Requires

Name Value
libc6 >= 2.7

Download

Type URL
Binary Package prodigal_2.6.1-1_i386.deb
Source Package prodigal

Install Howto

  1. Update the package index:
    # sudo apt-get update
  2. Install prodigal deb package:
    # sudo apt-get install prodigal

Files

Path
/usr/bin/prodigal
/usr/share/doc/prodigal/README.md
/usr/share/doc/prodigal/changelog.Debian.gz
/usr/share/doc/prodigal/changelog.gz
/usr/share/doc/prodigal/copyright
/usr/share/man/man1/prodigal.1.gz

Changelog

2014-09-16 - Andreas Tille <tille@debian.org>
prodigal (1:2.6.1-1) unstable; urgency=medium
* New upstream version (adapted patches)
* Add citation
* `cme fix dpkg-control` to fix Vcs-Browser
* Add myself as Uploader
* Use manually created manpage since help2man does a bad job
Closes: #761684
* d/watch: code moved to Github and changed versioning scheme
* d/rules: override_dh_auto_install to prevent installing to /usr/local
2014-07-28 - Olivier Sallou <osallou@debian.org>
prodigal (2.60-1) unstable; urgency=low
* Initial release (Closes: #756291).

See Also

Package Description
profanity_0.4.4-2_i386.deb console based XMPP client
profbval_1.0.22-1_all.deb predictor of flexible/rigid protein residues from sequence
profisis_1.0.11-1_all.deb prediction of protein-protein interaction sites from sequence
profnet-bval_1.0.22-2_i386.deb neural network architecture for profbval
profnet-chop_1.0.22-2_i386.deb neural network architecture for profchop
profnet-con_1.0.22-2_i386.deb neural network architecture for profcon
profnet-isis_1.0.22-2_i386.deb neural network architecture for profisis
profnet-md_1.0.22-2_i386.deb neural network architecture for metadisorder
profnet-norsnet_1.0.22-2_i386.deb neural network architecture for norsnet
profnet-prof_1.0.22-2_i386.deb neural network architecture for profacc
profnet-snapfun_1.0.22-2_i386.deb neural network architecture for snapfun
profphd-net_1.0.22-2_i386.deb neural network architecture for profphd
profphd-utils_1.0.10-1_i386.deb profphd helper utilities convert_seq and filter_hssp
profphd_1.0.40-1_all.deb secondary structure and solvent accessibility predictor
proftmb_1.1.12-2_i386.deb per-residue prediction of bacterial transmembrane beta barrels
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