augustus 3.5.0+dfsg-4build3 source package in Ubuntu

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augustus (3.5.0+dfsg-4build3) noble; urgency=medium

  * No-change rebuild for CVE-2024-3094

 -- William Grant <email address hidden>  Mon, 01 Apr 2024 16:33:14 +1100

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Uploaded by:
William Grant
Uploaded to:
Noble
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

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augustus_3.5.0+dfsg.orig.tar.xz 144.8 MiB 30a2a5200e7201a28383bebb98350eab9e043e38d0f7b825a1c8a614a6e68dc8
augustus_3.5.0+dfsg-4build3.debian.tar.xz 20.0 KiB 067ab9af50926b609e60400e8a9d43fb5a7eba26dca8e15a10ad8de9a5f63f82
augustus_3.5.0+dfsg-4build3.dsc 2.4 KiB 6b3d99b0ce5b12a6521aefb7f26c1b07bc8962821235fc9994952fba6dcdc9ba

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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.