Natural Language Processing Tool for Bioinformatics

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 classify bioinformatic resources from specialized scientific literature. The developed index of resources is freely available via the web application BioInformatics Resource Inventory (BIRI). The methodology is based on natural language processing and artificial intelligence techniques used to retrieve and automatically classify key information contained in scientific articles — primarily abstracts. Each article is analyzed morphologically, syntactically, and semantically in search of a series of set patterns that are able to automatically identify the names, functionality, access URL, and in some cases, the resource inputs and outputs without user intervention.

Read more here.