prottest 3.4.2+dfsg-8 source package in Ubuntu
Changelog
prottest (3.4.2+dfsg-8) unstable; urgency=medium * Fix watch file * Standards-Version: 4.6.1 (routine-update) * Set upstream metadata fields: Repository-Browse. -- Andreas Tille <email address hidden> Mon, 05 Dec 2022 20:55:47 +0100
Upload details
- Uploaded by:
- Debian Med
- Uploaded to:
- Sid
- Original maintainer:
- Debian Med
- Architectures:
- all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Oracular | release | universe | misc | |
Noble | release | universe | misc | |
Mantic | release | universe | misc | |
Lunar | release | universe | misc |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
prottest_3.4.2+dfsg-8.dsc | 2.1 KiB | 24db49e7fa0538e5d2830598794446b34332fc74ea66ae3f1c702ffbfe898612 |
prottest_3.4.2+dfsg.orig.tar.xz | 249.0 KiB | b2cfcb76e40ada8b00b36c83e81c6af7df2f9f11d7556e6e1501e4f76b4add36 |
prottest_3.4.2+dfsg-8.debian.tar.xz | 7.0 KiB | 9aa84a44243143ef286660b692d00bfdd613ed2b6b80a237a9884891572c0f94 |
Available diffs
- diff from 3.4.2+dfsg-7 to 3.4.2+dfsg-8 (772 bytes)
No changes file available.
Binary packages built by this source
- prottest: selection of best-fit models of protein evolution
PROTTEST (ModelTest's relative) is a program for selecting the model of
protein evolution that best fits a given set of sequences (alignment).
This java program is based on the Phyml program (for maximum likelihood
calculations and optimization of parameters) and uses the PAL library as
well. Models included are empirical substitution matrices (such as WAG,
LG, mtREV, Dayhoff, DCMut, JTT, VT, Blosum62, CpREV, RtREV, MtMam,
MtArt, HIVb, and HIVw) that indicate relative rates of amino acid
replacement, and specific improvements (+I:invariable sites, +G: rate
heterogeneity among sites, +F: observed amino acid frequencies) to
account for the evolutionary constraints impossed by conservation of
protein structure and function. ProtTest uses the Akaike Information
Criterion (AIC) and other statistics (AICc and BIC) to find which of the
candidate models best fits the data at hand.