Ubuntu
abpoa package

abpoa 1.4.2-1 source package in Ubuntu

Changelog

abpoa (1.4.2-1) unstable; urgency=medium

  * New upstream version 1.4.2
  * typos.patch: delete: applied upstream.
  * baseline.patch: refresh.
  * no_install_depends_cython.patch: delete: applied upstream.

 -- Étienne Mollier <email address hidden>  Fri, 15 Dec 2023 11:10:45 +0100

Upload details

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

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Downloads

File Size SHA-256 Checksum
abpoa_1.4.2-1.dsc 2.2 KiB d76f4064388619cdaf2d0dd545816c9ddab58b50556e3a6b6db8d2419b5850c1
abpoa_1.4.2.orig.tar.gz 155.5 KiB 286421d201629bc18ea32249330e12a3722f03c438db9deb421251279630d6cc
abpoa_1.4.2-1.debian.tar.xz 8.6 KiB e36a028f6a1ddf322f6bdb651fd6ec99655aef4b3e7a96f9c785c013276aad29

Available diffs

No changes file available.

Binary packages built by this source

abpoa: adaptive banded Partial Order Alignment

 abPOA is an extended version of Partial Order Alignment (POA) that performs
 adaptive banded dynamic programming (DP) with an SIMD implementation. abPOA
 can perform multiple sequence alignment (MSA) on a set of input sequences and
 generate a consensus sequence by applying the heaviest bundling algorithm to
 the final alignment graph.
 .
 abPOA can generate high-quality consensus sequences from error-prone long
 reads and offer significant speed improvement over existing tools.
 .
 abPOA supports three alignment modes (global, local, extension) and flexible
 scoring schemes that allow linear, affine and convex gap penalties. It right
 now supports SSE2/SSE4.1/AVX2 vectorization.
 .
 For more information please refer to the paper[1] published in Bioinformatics.
 .
 [1]: https://dx.doi.org/10.1093/bioinformatics/btaa963

abpoa-dbgsym: debug symbols for abpoa
python3-pyabpoa: adaptive banded Partial Order Alignment - python3 module

 abPOA is an extended version of Partial Order Alignment (POA) that performs
 adaptive banded dynamic programming (DP) with an SIMD implementation. abPOA
 can perform multiple sequence alignment (MSA) on a set of input sequences and
 generate a consensus sequence by applying the heaviest bundling algorithm to
 the final alignment graph.
 .
 abPOA can generate high-quality consensus sequences from error-prone long
 reads and offer significant speed improvement over existing tools.
 .
 abPOA supports three alignment modes (global, local, extension) and flexible
 scoring schemes that allow linear, affine and convex gap penalties. It right
 now supports SSE2/SSE4.1/AVX2 vectorization.
 .
 This package provides the python3 module of abPOA.

python3-pyabpoa-dbgsym: debug symbols for python3-pyabpoa