libwfa2 2.3.2-1 source package in Ubuntu

Changelog

libwfa2 (2.3.2-1) unstable; urgency=medium

  * New upstream version

 -- Andreas Tille <email address hidden>  Sat, 04 Feb 2023 09:14:13 +0100

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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
Lunar release universe misc

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File Size SHA-256 Checksum
libwfa2_2.3.2-1.dsc 2.0 KiB 8bfe0bebbe116ffe87736f8e2359c05268aa8e329eeb88aeaf698918982044d2
libwfa2_2.3.2.orig.tar.gz 4.0 MiB 310e3886506ab57d04205cdf5fed3ef31969ce39e9c6d341fd5c8a0d4aa0830b
libwfa2_2.3.2-1.debian.tar.xz 3.0 KiB 8aa04b62531f2d39b412282b2260fd21f89d3799f4c145b5a5b766b0aeb33764

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Binary packages built by this source

libwfa2-0: exact gap-affine algorithm (shared library)

 The wavefront alignment (WFA) algorithm is an exact gap-affine algorithm
 that takes advantage of homologous regions between the sequences to
 accelerate the alignment process. Unlike to traditional dynamic
 programming algorithms that run in quadratic time, the WFA runs in time
 O(ns+s^2), proportional to the sequence length n and the alignment score
 s, using O(s^2) memory (or O(s) using the ultralow/BiWFA mode).
 Moreover, the WFA algorithm exhibits simple computational patterns that
 the modern compilers can automatically vectorize for different
 architectures without adapting the code. To intuitively illustrate why
 the WFA algorithm is so interesting, look at the following figure. The
 left panel shows the cells computed by a classical dynamic programming
 based algorithm (like Smith-Waterman or Needleman Wunsch). In contrast,
 the right panel shows the cells computed by the WFA algorithm to obtain
 the same result (i.e., the optimal alignment).

libwfa2-0-dbgsym: debug symbols for libwfa2-0
libwfa2-dev: exact gap-affine algorithm (development)

 The wavefront alignment (WFA) algorithm is an exact gap-affine algorithm
 that takes advantage of homologous regions between the sequences to
 accelerate the alignment process. Unlike to traditional dynamic
 programming algorithms that run in quadratic time, the WFA runs in time
 O(ns+s^2), proportional to the sequence length n and the alignment score
 s, using O(s^2) memory (or O(s) using the ultralow/BiWFA mode).
 Moreover, the WFA algorithm exhibits simple computational patterns that
 the modern compilers can automatically vectorize for different
 architectures without adapting the code. To intuitively illustrate why
 the WFA algorithm is so interesting, look at the following figure. The
 left panel shows the cells computed by a classical dynamic programming
 based algorithm (like Smith-Waterman or Needleman Wunsch). In contrast,
 the right panel shows the cells computed by the WFA algorithm to obtain
 the same result (i.e., the optimal alignment).
 .
 This package contains the static library and the header files.