mafft 7.505-1 source package in Ubuntu
Changelog
mafft (7.505-1) unstable; urgency=medium * Team upload. * New upstream version 7.505 * Removed myself from uploaders -- Nilesh Patra <email address hidden> Sun, 26 Jun 2022 00:45:31 +0530
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 | Published | Component | Section | |
---|---|---|---|---|
Mantic | release | universe | science | |
Lunar | release | universe | science | |
Kinetic | release | universe | science |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
mafft_7.505-1.dsc | 1.9 KiB | bc3eafbf0dc94f25205906b5874e22181afa1ed14c7f515070b7de9ade592782 |
mafft_7.505.orig.tar.gz | 606.9 KiB | 9b9ee0dea1d493f0fad6f9c227bcc291ddedd045b5558b7fea30dc5932db33b8 |
mafft_7.505-1.debian.tar.xz | 7.0 KiB | d0317b4d2b4cd3afd5a27657bec696ea2f7e0f1101c858b8c0006c3a1b7a8d54 |
Available diffs
- diff from 7.490-1 to 7.505-1 (21.3 KiB)
No changes file available.
Binary packages built by this source
- mafft: Multiple alignment program for amino acid or nucleotide sequences
MAFFT is a multiple sequence alignment program which offers three
accuracy-oriented methods:
* L-INS-i (probably most accurate; recommended for <200 sequences;
iterative refinement method incorporating local pairwise alignment
information),
* G-INS-i (suitable for sequences of similar lengths; recommended for
<200 sequences; iterative refinement method incorporating global
pairwise alignment information),
* E-INS-i (suitable for sequences containing large unalignable regions;
recommended for <200 sequences),
and five speed-oriented methods:
* FFT-NS-i (iterative refinement method; two cycles only),
* FFT-NS-i (iterative refinement method; max. 1000 iterations),
* FFT-NS-2 (fast; progressive method),
* FFT-NS-1 (very fast; recommended for >2000 sequences; progressive
method with a rough guide tree),
* NW-NS-PartTree-1 (recommended for ∼50,000 sequences; progressive
method with the PartTree algorithm).