CRF
Home
Projects
BioTagger
MSTParser
CRAIG
StructLearn
CALO
EVIGAN
Publications
People
Computing
Links
Penn
Penn CIS
Machine Learning at Penn
Genomics and Computational Biology

CRAIG Gene Predictor

CRAIG is a gene prediction program developed at the Computer and Information Science Department at the University of Pennsylvania, based on conditional random fields and online large-margin training. For the time being only a human model has been trained but other models will follow soon.

You can submit your own sequences for prediction using our web server. User help and documentation related to our webserver's use can be accessed here.

You can view the training and development sets used in developing CRAIG's human gene model. You can also download some CRAIG predictions of human genes.

You can download here the latest release of craig and lless, a general library for training and testing linear structure models for sequences (pronounced "l-less"). Provided along with the full source code is also craig's human model. Both components are released under GPL v2.0

Credits

The research on which this software is based was funded by the National Science Foundation under ITR grants EIA 0205456 (Language, Learning, and Modeling Biological Sequences) and IIS 0428193 (Machine Learning for Sequences and Structured Data).