Researchers at Madrid's UPM Facultad de Informatica have
developed a new tool that can uncover and automatically classify
bioinformatics resources from the scientific literature.
Bioinformatics resources have proliferated in the years since
the end of the Human Genome Project, obliging researchers to
spend a quite a lot of time browsing the web in searches. The
Universidad Politecnica de Madrid' s Biomedical Informatics
Group (GIB) based at the Facultad de Informatica has developed
an innovative methodology, the first capable of discovering and
automatically classifying bioinformatics resources from the
scientific literature. Nowadays the scientific community has
access to many online bioinformatics resources. This number
grows exponentially day by day. Led by Professor Victor Maojo, a
team of researchers from the GIB (including Guillermo de la
Calle, Miguel Garcia-Remesal, Diana de la Iglesia, and Stefano
Chiesa) have developed an innovative methodology designed to
discover, retrieve, and automatically class