by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. 1 Text Mining (Applications Note) Text processing through Web services: Callin

Motivation: Text-mining (TM) solutions are developing into efficient services to researchers in the biomedical research community. Such solutions have to scale with the growing number and size of resources (e.g., available controlled vocabularies), with the amount of literature to be processed (e.g., about 17 million documents in PubMed) and with the demands of the user community (e.g., differ-ent methods for fact extraction). These demands induce the devel-opment of server-based solutions that can be accessed program-matically. Whatizit is a suite of modules that analyse text for contained infor-mation, e.g. any scientific publication or Medline abstracts. Each module identifies terms and then links them to the corresponding entries in bioinformatics databases such as UniProtKb/Swiss-Prot data entries and gene ontology concepts. Other modules identify a set of selected annotation types like the set produced by the EBI-Med analysis pipeline for proteins. In the case of Medline abstracts, Whatizit offers access to EBI’s inhouse installation via PMID or term query. For large quantities of own text, the server can be operated in a streaming mode