Since its first release in 2001, WormBase
(http://www.wormbase.org) has grown from a small database serving the specific research community of a single species, to a resource encompassing the breadth of the nematode phylum and serving as a fundamental tool for broader biomedical and agricultural research. We now include the genome sequences of over twenty nematode species, around half of which are parasitic worms implicated in animal or plant disease. We have begun to engage directly with parasitic nematode research communities, and have recently collaborated on the annotation of a new version of the Brugia malayi reference genome, manually curating around one fifth of the gene models. We also continue to scale-up our literature curation workflows and develop our phenotype, life-stage and anatomy ontologies to apply them beyond the Caenorhabditis genus. In parallel with this diversification, we continue to increase the depth and detail of information for C.elegans. We have adopted new approaches to how we represent and analyse genomic variation data in response to continued growth in whole-genome sequencing of mutant and wild isolate strains; we have enriched our data sets of gene expression, transcriptional regulation, pathways, and interactions; and we now provide both predicted and experimentally-confirmed associations between C. elegans genes and human disease genes, collaborating with other model organism databases in the adoption of a common ontology for human disease. Finally, continued expansion of the resource, both in breadth and depth, has motivated us to completely rethink how data is presented to and accessed by users. The new WormBase web-site, demonstrated in 2011, is now in full production, resulting in greater speed, stability and flexibility. We are now pleased to introduce our new platform for data mining, WormMine. Conceptually similar to our previous data-mining tool (WormMart), WormMine allows custom queries to be composed from pre-prepared query templates, greatly improving the speed and ease with which users can obtain the precise data they need.