Jörg Hakenberg*, Conrad Plake, Torsten Schiemann, Ulf Leser
Humboldt-Universität zu Berlin, Department of Computer Science, Knowledge Management Group, Unter den Linden 6, 10099 Berlin, Germany.
* Corresponding author. Current affiliation: Knowledge Management in Bioinformatics, Dept. Computer Science, Humboldt-Universität zu Berlin, Rudower Chaussee 25, 12489 Berlin, Germany. eMail: hakenberg(a)informatik.hu-berlin.de
Life science publications contain a large amount of associations between various types of biomedical objects, such as protein-protein interactions. Keyword searches help users to find relevant publications, for example using the Medline citation index. Users have to read all texts to find objects of interest and their relations. Ali Baba alleviates this task. It uses advanced text mining methods to extract various types of biomedical objects from the result of a PubMed query and presents this information in a graphical form. Ali Baba allows users to access the underlying literature by browsing this graph of cells, diseases, drugs, proteins, species, and tissues, and their respective associations.
Availability: http://alibaba.informatik.hu-berlin.de
Software demo at
German Conference on Bioinformatics (GCB), Tübingen, Germany, September 20-22 2006.
[GCB 2006]