Oct 092011
 

CONTRAlign 2.01

:: DESCRIPTION

CONTRAlign (CONditional TRAining for Protein Sequence Alignment)is an extensible and fully automatic parameter learning framework for protein pairwise sequence alignment based on pair conditional random fields. The CONTRAlign framework enables the development of feature-rich alignment models which generalize well to previously unseen sequences and avoid overfitting by controlling model complexity through regularization.

CONTRAlign Online Version

::DEVELOPER

Chuong Do (chuongdo@cs.stanford.edu)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 CONTRAlign

:: MORE INFORMATION

Citation

Do, C.B., Gross, S.S., and Batzoglou, S. (2006)
CONTRAlign: Discriminative Training for Protein Sequence Alignment.
In Proceedings of the Tenth Annual International Conference on Computational Molecular Biology (RECOMB 2006).

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