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abpoa package

abpoa 1.4.1-3build2 source package in Ubuntu

Changelog

abpoa (1.4.1-3build2) lunar; urgency=medium

  * No-change rebuild with Python 3.11 only

 -- Graham Inggs <email address hidden>  Fri, 17 Mar 2023 09:23:08 +0000

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

See full publishing history Publishing

Series Pocket Published Component Section
Lunar release universe misc

Downloads

File Size SHA-256 Checksum
abpoa_1.4.1.orig.tar.gz 191.0 KiB b16b58e260026dd7daa75cea46c75e7c418cc1b1c681dd864d37d925157dd677
abpoa_1.4.1-3build2.debian.tar.xz 8.5 KiB eac70b725775cb119d8e31d516dd0ebf53807198e410a1c326c7ff7303d6cc89
abpoa_1.4.1-3build2.dsc 2.1 KiB 9aae388fba1f99c14c0da64476fb9495f945a653f132d12cdd91bf6cabe8041b

Available diffs

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