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

Welcome to CASTOR web-platform 1.0. A powerful, dynamic and open access web-platform to exploit robust machine learning classifiers for the classification of sequences based on RFLP signatures. The platform allows the user to label nucleotide sequences and classify efficiently and quickly these sequences. With CASTOR, one can build and optimize its own classifiers. Users could also share and publish in CASTOR-database their models that will allow the reused of their tuned models as well as the access to their models for reproducible research.

CASTOR-predict

Predict nucleotide sequence classes using already build classifiers

CASTOR-database

A database of community-shared classifiers

CASTOR-build

Build your own predictor to classify sequences

CASTOR-optimize

Build improved classifiers