Ubuntu
abpoa package

abpoa 1.4.1-5 source package in Ubuntu

Changelog

abpoa (1.4.1-5) unstable; urgency=medium

  * Migrate abpoa from experimental to unstable, since dumat didn't croak on
    the files move from bin to usr/bin in the past week.

 -- Étienne Mollier <email address hidden>  Sat, 02 Dec 2023 11:31:52 +0100

Upload details

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

See full publishing history Publishing

Series Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
abpoa_1.4.1-5.dsc 2.2 KiB 3195619def0ac3813e7861cb6b36410fe9de19b36037d6bbca9917bc0ef2d7a6
abpoa_1.4.1.orig.tar.gz 191.0 KiB b16b58e260026dd7daa75cea46c75e7c418cc1b1c681dd864d37d925157dd677
abpoa_1.4.1-5.debian.tar.xz 8.9 KiB 2c1f2f487c18c065b0144dc0d7061e7259ca472ce516a8b4bdf4c2a6df0222a4

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