Tool to improve the C. elegans genome annotation using machine learning
Version: 0.3Training the mSplicer tool will involve solving a relatively large linear optimization problem, implemented in MATLAB using the CPLEX optimization package.
Operating System: Mac OS X
mSplicer is based on Python scripts that call methods implemented in C++ for predicting splice sites using Support Vector Machines and Dynamic Programming for splice form prediction.
These routines are part of the freely available Shogun toolbox for large scale kernel learning.