muscle 1:5.1.0-1 source package in Ubuntu

Changelog

muscle (1:5.1.0-1) unstable; urgency=medium

  * Team upload.

  [ Charles Plessy ]
  * License is GPL-3

  [ Lance Lin ]
  * Standards-Version: 4.6.1 (routine-update)
  * Remove trailing whitespace in debian/control (routine-update)
  * d/patches/makefile.patch: Refresh patch to match new source

 -- Lance Lin <email address hidden>  Sat, 05 Nov 2022 19:45:38 +0100

Upload details

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

See full publishing history Publishing

Series Pocket Published Component Section
Mantic release universe science
Lunar release universe science

Downloads

File Size SHA-256 Checksum
muscle_5.1.0-1.dsc 2.0 KiB a21c181e9e00873ad8c5eb3b9b96edc097f73fbac69ef9882af079e3d3fa2ccd
muscle_5.1.0.orig.tar.gz 181.1 KiB 2bba8b06e3ccabf6465fa26f459763b2029d7e7b9596881063e3aaba60d9e87d
muscle_5.1.0-1.debian.tar.xz 8.8 KiB 7cf091b531f07184d31e2aeb23cf653f0580f782509f140f2847924f182dd15d

Available diffs

No changes file available.

Binary packages built by this source

muscle: Multiple alignment program of protein sequences

 MUSCLE is a multiple alignment program for protein sequences. MUSCLE
 stands for multiple sequence comparison by log-expectation. In the
 authors tests, MUSCLE achieved the highest scores of all tested
 programs on several alignment accuracy benchmarks, and is also one of
 the fastest programs out there.
 .
 Muscle v5 is a major re-write of MUSCLE based on new algorithms.
 .
 Users should be aware that command line arguments compared to version
 3.x of MUSCLE have changed!
 .
 Highest accuracy, scalable to thousands of sequences
 .
 Compared to previous versions, Muscle v5 is much more accurate, is often
 faster, and scales to much larger datasets. At the time of writing (late
 2021), Muscle v5 has the highest scores on multiple alignment benchmarks
 including Balibase, Bralibase, Prefab and Balifam. It can align tens of
 thousands of sequences with high accuracy on a low-cost commodity computer
 (say, an 8-core Intel CPU with 32 Gb RAM). On large datasets, Muscle v5
 is 20-30% more accurate than MAFFT and Clustal-Omega.
 .
 Alignment ensembles
 .
 Muscle v5 can generate ensembles of high-accuracy alternative alignments.
 All replicates have equal average accuracy on benchmark test, including
 the MSA made with default parameters. By comparing results of downstream
 analysis (trees, structure prediction...) on different replicates, you can
 assess the effects of alignment errors on your study.

muscle-dbgsym: debug symbols for muscle