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Nucleic Acids Research 2004 32(Web Server Issue):W213-W216; doi:10.1093/nar/gkh402
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© 2004, the authors
Nucleic Acids Research, Vol. 32, Web Server issue © Oxford University Press 2004; all rights reserved

CARRIE web service: automated transcriptional regulatory network inference and interactive analysis

Peter M. Haverty1, Martin C. Frith1 and Zhiping Weng1,2,*

1 Bioinformatics Program and 2 Biomedical Engineering Department, Boston University, 44 Cummington Street, Boston, MA 02215, USA

* To whom correspondence should be addressed. Tel: +1 617 353 3509; Fax: +1 617 353 6766; Email: zhiping{at}bu.edu

Received March 25, 2004; Accepted March 26, 2004

We present an intuitive and interactive web service for CARRIE (Computational Ascertainment of Regulatory Relationships Inferred from Expression). CARRIE is a computational method that analyzes microarray and promoter sequence data to infer a transcriptional regulatory network from the response to a specific stimulus. This service displays an interactive graph of the inferred network and provides easy access to the evidence for the involvement of each gene in the network. We provide functionality to include network data in KEGG XML (KGML) format in this graph. Our service also provides Gene Ontology annotation to aid the user in forming hypotheses about the role of each gene in the cellular response. The CARRIE web service is freely available at http://zlab.bu.edu/CARRIE-web.


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