SIFTER
SIFTER: Statistical Inference of Function Through Evolutionary
Relationships
- B.E. Engelhardt, M.I. Jordan, and S.E. Brenner (2006). A graphical model for predicting protein molecular
function. Proceedings of the International Conference on Machine Learning
(ICML), to appear. [PDF]
- B.E. Engelhardt, M.I. Jordan, K.E. Muratore, and S.E. Brenner (2005). Protein molecular function prediction by Bayesian phylogenomics PLoS Computational Biology, 1, 432-445, 2005. [PDF]
SIFTER Downloadable Code
The code is version 0.3 and is fully described in the ICML paper (posted
above). It is research-quality code, so do expect a little work to go into
setting it up. It is still in active development, so if you have any
comments, problems, or feedback, please send me an email (bee@cs.berkeley.edu)
To set up SIFTER on your computer, please see the README in the top directory,
and to build the files see the readme in the scripts folder. There is a
hypothetical family there as a test family so you can see what all of the
files look like and how output is organized. [Code]
SIFTER Future Developments
Check back here for a SIFTER server sometime in the next few months!
Barbara
Engelhardt