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About
==========
CoreTracker detects evidences of codon reassignment from
the protein repertoire of a set of genomes by successively applying
different algorithms. It’s a filtering approach that explore all
possible reassignments in every genomes from the input set, and retain
only the most promising one.
Detailed information about the package, installation and tutorials are
available here ==> http://udem-lbit.github.io/CoreTracker/
Installation
============
First install the dependencies which include ``gfortran``, ``PyQt4``
``muscle``, ``mafft`` and ``hmmer``. ``PyQt4`` also require ``Sip`` and
``qt``. It's easier to install those two using distribution specific
packages.
You can now download the github project and install using
``python setup.py install`` or pip (``pip install coretracker``).
I recommend setting a virtual environment through ``virtualenv``.
Alternatively, you can also install it with ``conda``, which is the
easiest way : ``conda install -c maclandrol coretracker``.
Help for installation is available at `Coretracker:
Installation <http://udem-lbit.github.io/CoreTracker/#install>`__
Basic Help
==========
After installation, run ``coretracker -h`` for help.
An example of execution is :
``coretracker -t speciestree.nw -p protein.ali -n nucsequences.core --gapfilter 0.4 --iccontent 0.3 --idfilter 0.5 --norefine --wdir outdir --params param.yml``
Additional parameters can be set using the ``--params`` option. See the
provided template
(`param.yml <https://github.com/UdeM-LBIT/CoreTracker/blob/master/examples/test_data/param.yml>`__).
Citation
========
If you use coretracker, please cite:
::
Noutahi E, Calderon V, Blanchette M, Lang FB, El-Mabrouk N. CoreTracker: accurate codon reassignment prediction, applied to mitochondrial genomes. Bioinformatics. 2017 Jun 26;33(21):3331-9.
::
@article{noutahi2017coretracker,
title={CoreTracker: accurate codon reassignment prediction, applied to mitochondrial genomes},
author={Noutahi, Emmanuel and Calderon, Virginie and Blanchette, Mathieu and Lang, Franz B and El-Mabrouk, Nadia},
journal={Bioinformatics},
volume={33},
number={21},
pages={3331--3339},
year={2017},
publisher={Oxford University Press}
}
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