ragout 2.3-5 source package in Ubuntu

Changelog

ragout (2.3-5) unstable; urgency=medium

  * Port to Python3.12 by removing vendored six.py
    Closes: #1061835
  * Standards-Version: 4.6.2 (routine-update)
  * Build-Depends: s/dh-python/dh-sequence-python3/ (routine-update)

 -- Andreas Tille <email address hidden>  Fri, 02 Feb 2024 11:01:34 +0100

Upload details

Uploaded by:
Debian Med
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release universe misc
Noble release universe misc

Downloads

File Size SHA-256 Checksum
ragout_2.3-5.dsc 2.1 KiB 72146e750738ab342e566c7299e6fecea995acc3a66a0340868d779a6b200c96
ragout_2.3.orig.tar.xz 11.7 MiB 135d2dead97f0488b37d1ce399e84753390f61d24f7ea9513d228c802a678a1b
ragout_2.3-5.debian.tar.xz 14.6 KiB 17e84d4a2a9fafa5fde026380f07de6dd5405df63992b175da5c9aa5ce15b1e9

Available diffs

No changes file available.

Binary packages built by this source

ragout: Reference-Assisted Genome Ordering UTility

 Ragout (Reference-Assisted Genome Ordering UTility) is a tool for
 chromosome-level scaffolding using multiple references. Given initial
 assembly fragments (contigs/scaffolds) and one or multiple related
 references (complete or draft), it produces a chromosome-scale assembly
 (as a set of scaffolds).
 .
 The approach is based on the analysis of genome rearrangements (like
 inversions or chromosomal translocations) between the input genomes and
 reconstructing the most parsimonious structure of the target genome.
 .
 Ragout now supports both small and large genomes (of mammalian scale
 and complexity). The assembly of highly polymorphic genomes is
 currently limited.

ragout-dbgsym: debug symbols for ragout
ragout-examples: Reference-Assisted Genome Ordering UTility (example data)

 Ragout (Reference-Assisted Genome Ordering UTility) is a tool for
 chromosome-level scaffolding using multiple references. Given initial
 assembly fragments (contigs/scaffolds) and one or multiple related
 references (complete or draft), it produces a chromosome-scale assembly
 (as a set of scaffolds).
 .
 The approach is based on the analysis of genome rearrangements (like
 inversions or chromosomal translocations) between the input genomes and
 reconstructing the most parsimonious structure of the target genome.
 .
 Ragout now supports both small and large genomes (of mammalian scale
 and complexity). The assembly of highly polymorphic genomes is
 currently limited.
 .
 This package contains example data to test ragout.