augustus 3.3+dfsg-2build1 source package in Ubuntu


augustus (3.3+dfsg-2build1) bionic; urgency=medium

  * No-change rebuild for boost soname change.

 -- Matthias Klose <email address hidden>  Thu, 26 Oct 2017 17:09:26 +0000

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Uploaded by:
Matthias Klose on 2017-10-26
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Debian Med
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Medium Urgency

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Series Pocket Published Component Section
Bionic release on 2017-10-31 universe misc


File Size SHA-256 Checksum
augustus_3.3+dfsg.orig.tar.xz 43.6 MiB 9cfacef84757f3ad7e04cc03df6e387dae079f273992039356e063c866c9a046
augustus_3.3+dfsg-2build1.debian.tar.xz 16.7 KiB 26f88086c684e75c64d28e3b597f4eee4319871ede66217bafb1fee2aa8217c2
augustus_3.3+dfsg-2build1.dsc 2.2 KiB b4c92a7a8c50fe3591d5aff52f91065da45797fc8f1c8dd855fa83bdea741ef0

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Binary packages built by this source

augustus: gene prediction in eukaryotic genomes

 AUGUSTUS is a software for gene prediction in eukaryotic genomic sequences
 that is based on a generalized hidden Markov model (HMM), a probabilistic
 model of a sequence and its gene structure. After learning gene structures
 from a reference annotation, AUGUSTUS uses the HMM to recognize genes in a new
 sequence and annotates it with the regions of identified genes. External hints,
 e.g. from RNA sequencing, EST or protein alignments etc. can be used to guide
 and improve the gene finding process. The result is the set of most likely gene
 structures that comply with all given user constraints, if such gene
 structures exist.
 AUGUSTUS already includes prebuilt HMMs for many species, as well as scripts
 to train custom models using annotated genomes.

augustus-data: data files for AUGUSTUS

 This package contains pre-trained species models and other required
 architecture-independent data files for the AUGUSTUS gene finder. These are
 needed to identify gene structures in these or related organisms.

augustus-dbgsym: debug symbols for augustus
augustus-doc: documentation files for AUGUSTUS

 This package contains documentation for AUGUSTUS: a comprehensive manual-style
 README both for AUGUSTUS in general as well as for its comparative gene
 prediction (cgp) mode, as well as a HTML tutorial.