This is a Python implementation of the popular tAI metric, originally implemented by mariodosreis/tai. It should be more extensible though perhaps not faster.
If there are codons that are composed of non-ATGCU 'bases', they will be silently ignored from analysis.
There will be small differences in the calculation compared to the original codonR program (O(1e-3)).
These may be the result of a mis-coding in the original data table used in the
codonR code, which assigns 1 tRNA to TGA
(a stop codon), which wouldn't be
right. Based on the known tRNAs in E. coli, TGA
may have been unknowingly
swapped with TGT
keeping it together with the other stop codons in the coding
table.
Copyright (C) 2016 Shyam Saladi - Caltech
- Clone repo
git clone [email protected]:smsaladi/tAI.git
- Install with
pip
cd tAI
pip install .
- If you've already installed the package and want to reinstall, try
pip install . -I
All dependencies should be checked for and, if necessary, installed
automatically by pip
.
The bio-tAI is licensed under the GNU General Public License Version 2.
-
Reconcile package requirements in
requirements.txt
with those listed atinstall_requires
,setup_requires
, andtest_requires
insetup.py
. -
Confirm build passes all tests
-
Update the version number and
download_url
insetup.py
-
Tag a release on GitHub with the new version number