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abpoa package

abpoa 1.5.1-1build1 source package in Ubuntu

Changelog

abpoa (1.5.1-1build1) noble; urgency=medium

  * No-change rebuild with Python 3.12 only

 -- Graham Inggs <email address hidden>  Wed, 10 Apr 2024 18:35:08 +0000

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Uploaded by:
Graham Inggs
Uploaded to:
Noble
Original maintainer:
Debian Med
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

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

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File Size SHA-256 Checksum
abpoa_1.5.1.orig.tar.gz 156.0 KiB 3d40f0599f6e2982ecf216cf3b66081fd314856aad1249e57e0fd3f73917d21e
abpoa_1.5.1-1build1.debian.tar.xz 9.0 KiB 4a87745aa1a516688916ce76318bfd3452bda12dd5fb2aa9869c153d321e3f09
abpoa_1.5.1-1build1.dsc 2.1 KiB 5882a45e26cc30edbec07c58b8fb4a4631d3de699a392515a84b929e612fd1c6

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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