Machine Learning Platform for the Classification of Nucleotide Sequences
Université du Québec à Montréal


About
CASTOR
CASTOR is a software dedicated to the automatic nucleotide-sequence classification. It's inspired from the Restriction fragment length polymorphism (RFLP) technique.

CASTOR software is designed by M. A. Remita, Ahmed Halioui and Abdoulaye baniré Diallo at the Laboratoire de bioinformatique at UQAM.
The core program and the GUI were developped by M. A. Remita
Tests, simulations and result analysis were performed by M. A. Remita, Ahmed Halioui, Malick Diouara, Bruno Daigle, Golrokh Kiani and Abdoulaye Banire Diallo.

CASTOR version : 1.00
Data
Data used for tuning classifiers and assessing their performances in CASTOR paper:

How to cite CASTOR
Mohamed Amine Remita, Ahmed Halioui, Abou Abdallah Malick Diouara, Bruno Daigle, Golrokh Kiani and Abdoulaye Banire Diallo. A machine learning approach for viral genome classification. BMC Bioinformatics 18:208 [paper]
Contact and support
Mohamed Amine Remita and Abdoulaye baniré Diallo
Laboratoire de bioinformatique
Département d'informatique
Université du Québec à Montréal

201, av. Président-Kennedy, local PK-4445
Montréal (Québec) H2X 3Y7

remita.mohamed_amine@courrier.uqam.ca
diallo.abdoulaye@uqam.ca

To report a bug or any suggestion please send a mail to castor.bioinfo.uqam@gmail.com
Acknowledgement
CASTOR project is funded by Natural Sciences and Engineering Research Council of Canada (NSERC) and Fonds de recherche du Québec – Nature et technologies (FRQNT).
CASTOR program and web interface are hosted at Université du Québec à Montréal (UQAM) in Canada.

Restriction enzymes and their patterns were retrieved from The Restriction Enzyme Database (REBASE).

CASTOR core program made with CASTOR GUI made with
Bioperl WEKA SciPy JQuery AngularJS Bootstrap Highcharts Glyphicons
License