Endeavour (http://www.esat.kuleuven.be/endeavourweb; this web site is free and 
open to all users and there is no login requirement) is a web resource for the 
prioritization of candidate genes. Using a training set of genes known to be 
involved in a biological process of interest, our approach consists of (i) 
inferring several models (based on various genomic data sources), (ii) applying 
each model to the candidate genes to rank those candidates against the profile 
of the known genes and (iii) merging the several rankings into a global ranking 
of the candidate genes. In the present article, we describe the latest 
developments of Endeavour. First, we provide a web-based user interface, besides 
our Java client, to make Endeavour more universally accessible. Second, we 
support multiple species: in addition to Homo sapiens, we now provide gene 
prioritization for three major model organisms: Mus musculus, Rattus norvegicus 
and Caenorhabditis elegans. Third, Endeavour makes use of additional data 
sources and is now including numerous databases: ontologies and annotations, 
protein-protein interactions, cis-regulatory information, gene expression data 
sets, sequence information and text-mining data. We tested the novel version of 
Endeavour on 32 recent disease gene associations from the literature. 
Additionally, we describe a number of recent independent studies that made use 
of Endeavour to prioritize candidate genes for obesity and Type II diabetes, 
cleft lip and cleft palate, and pulmonary fibrosis.