CAESAR (CandidAtE Search And Rank)

News Overview Manuscript Test data Downloads Web tools Contact   News   CAESAR review Wed, 07 Mar 2007 the bioinformatics blog 'Flags and Lollipops' recently posted an overview of CAESAR http://www.ghastlyfop.com/blog/2007/03/prioritizing-candidate-genes-with.html   website updated Tue, 06 Mar 2007 website updated, data will be posted shortly   CAESAR news feed Tue, 06 Mar 2007 subscribe to the RSS feed to receive caesar news and updates posted here.   Overview CAESAR (CandidAtE Search And Rank) is a gene prioritization system for complex traits in humans. It was developed at the University of North Carolina at Chapel Hill, in the Mohlke lab (Department of Genetics) and the Vision lab (Department of Biology). CAESAR uses a novel combination of text- and data-mining to rank annotated genes as candidates for a complex trait based on functional similarity to the trait. Ontologies are used to semantically map trait knowledge to gene and protein-centric information from eight public annotation databases. CAESAR requires a body of text describing the biology of a trait as its only input. Recommended forms of input text include published trait review articles and trait OMIM records. Currently, CAESAR can only be accessed by downloading and running locally. Future plans may include developing a web interface to access CAESAR. For more information, contact kgaulton [at] gmail.com.   Manuscript Gaulton KJ, Mohlke KL, Vision TJ. A computational system to select candidate genes for complex human traits. Bioinformatics. 2007 May 1;23(9):1132-40. [abstract] [PDF]   Test data   Downloads Please contact kgaulton [at] gmail.com to download CAESAR.   Web Tools Web-based interfaces to use CAESAR are in consideration for future work.   Contact Kyle Gaulton (kgaulton [at] gmail.com)