metaeuk 6-a5d39d9+ds-3 source package in Ubuntu

Changelog

metaeuk (6-a5d39d9+ds-3) unstable; urgency=medium

  [ Andreas Tille ]
  * Team upload.
  * d/tests/control:
    Architecture: amd64 arm64 mips64el ppc64el ia64 kfreebsd-amd64 riscv64
    Depends: metaeuk
  * Drop redundant debian/gbp.conf
  * Add salsa-ci file (routine-update)

  [ Sascha Steinbiss ]
  * Fix FTBFS with GCC 13.
    Closes: #1042148

 -- Sascha Steinbiss <email address hidden>  Thu, 27 Jul 2023 12:27:38 +0200

Upload details

Uploaded by:
Debian Med
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
amd64 arm64 mips64el ppc64el ia64 kfreebsd-amd64 riscv64 all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Mantic release universe misc

Downloads

File Size SHA-256 Checksum
metaeuk_6-a5d39d9+ds-3.dsc 2.2 KiB 9689df9616a92fb776e364df953931dce682d916fa02cbbda77566344c1daad8
metaeuk_6-a5d39d9+ds.orig.tar.xz 6.6 MiB 82b205a92de13b8e0f5a9933bbf631f3a4e808ee9fe4783022b3458cfe4cf5ce
metaeuk_6-a5d39d9+ds-3.debian.tar.xz 7.4 KiB 28da16ee67f2d1a6c16e1b03973ac1ca4deb7ea05a69a8a2e8699361eff95c10

Available diffs

No changes file available.

Binary packages built by this source

metaeuk: sensitive, high-throughput gene discovery and annotation for metagenomics

 MetaEuk is a modular toolkit designed for large-scale gene discovery and
 annotation in eukaryotic metagenomic contigs. MetaEuk combines the fast and
 sensitive homology search capabilities of MMseqs2 with a dynamic programming
 procedure to recover optimal exons sets. It reduces redundancies in multiple
 discoveries of the same gene and resolves conflicting gene predictions on the
 same strand.

metaeuk-dbgsym: debug symbols for metaeuk
metaeuk-examples: optional resources for the metaeuk package

 MetaEuk is a modular toolkit designed for large-scale gene discovery and
 annotation in eukaryotic metagenomic contigs. MetaEuk combines the fast and
 sensitive homology search capabilities of MMseqs2 with a dynamic programming
 procedure to recover optimal exons sets. It reduces redundancies in multiple
 discoveries of the same gene and resolves conflicting gene predictions on the
 same strand.
 .
 This package contains example sequences for testing etc.