Ubuntu
abpoa package

abpoa 1.5.3-1build1 source package in Ubuntu

Changelog

abpoa (1.5.3-1build1) plucky; urgency=medium

  * No-change rebuild to add support for Python 3.13.

 -- Matthias Klose <email address hidden>  Thu, 14 Nov 2024 19:34:14 +0100

Upload details

Uploaded by:
Matthias Klose
Uploaded to:
Plucky
Original maintainer:
Debian Med
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Plucky release universe misc

Downloads

File Size SHA-256 Checksum
abpoa_1.5.3.orig.tar.gz 159.6 KiB 9e4b98b8bcc50c4c139824c24b055004140b59677ba0f54bd29a8150606ec17e
abpoa_1.5.3-1build1.debian.tar.xz 9.7 KiB 6861e17e8935ec8487bfc9d9b699592a5ac1c55d221008b67e0fbba0407346dd
abpoa_1.5.3-1build1.dsc 2.1 KiB 10b4c3b84d51209a01729132a2256385c1536bf1aa9786878759d10f476a96d1

View changes file

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