Unlock your biological data
It is evident that a considerable amount of useful biological or biomedical knowledge is essentially buried in the form of free text, waiting to be found and transformed into more accessible formats. Swanson referred to such phenomena as ‘undiscovered public knowledge’ (Bekhuis, 2006). The enormous challenges associated with keeping up or digging through this undiscovered public knowledge, especially in the area of biomedical knowledge, has led to the development of a number of text-mining tools aimed at supporting biomedical text extraction, fact finding and text summarization.
(Liu et al., 2015) PolySearch2: a significantly improved text-mining system for discovering associations between human diseases, genes, drugs, metabolites, toxins and more. Nucleic Acids Res.
(Bekhuis, 2006) Conceptual biology, hypothesis discovery, and text mining: Swanson's legacy. Biomedical Digital Libraries.