abpoa 1.5.0-1 source package in Ubuntu

Changelog

abpoa (1.5.0-1) unstable; urgency=medium

  * New upstream version 1.5.0
  * baseline.patch: refresh.
  * buildflags.patch: refresh.
  * d/t/run-unit-test: repair broken logic.
    This restores tests for all possible SIMDe binaries variants.

 -- Étienne Mollier <email address hidden>  Sat, 13 Jan 2024 13:36:50 +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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File Size SHA-256 Checksum
abpoa_1.5.0-1.dsc 2.2 KiB 47a11bff67b479c6505e07161f1a45d0c4e2704f966d66fff215289e9ba19863
abpoa_1.5.0.orig.tar.gz 156.0 KiB fb9fc7adc1a66af4cb47aefe79cc4bfbc11d0af23391b442d7681f965a96990d
abpoa_1.5.0-1.debian.tar.xz 8.9 KiB f3ca53998483826775a00f8f603a0d1a27426b4b344f14d83cc4ddb32dfa1167

Available diffs

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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