title: CARRIE web service: automated transcriptional regulatory network inference and interactive analysis.
abstract: 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.
authors.affiliation: Bioinformatics Program and Biomedical Engineering Department, Boston University, 44 Cummington Street, Boston, MA 02215, USA.
authors.forename: Peter M
authors.initials: PM
authors.lastname: Haverty
authors.forename: Martin C
authors.initials: MC
authors.lastname: Frith
authors.forename: Zhiping
authors.initials: Z
authors.lastname: Weng
mesh_terms: D001665:Binding Sites; D019295:Computational Biology; D003196:Computer Graphics; D004247:DNA / Q000737:chemistry / Q000378:metabolism; D020869:Gene Expression Profiling; D005786:Gene Expression Regulation; D020407:Internet; D020411:Oligonucleotide Array Sequence Analysis; D011401:Promoter Regions, Genetic; D012045:Regulatory Sequences, Nucleic Acid; D012984:Software; D014157:Transcription Factors / Q000378:metabolism*; D014158:Transcription, Genetic; D014584:User-Computer Interface
chemical_list: D014157:Transcription Factors; D004247:DNA