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New text-mining tool lets researchers visualize gene, protein, drug and disease connections


Every day, more than 3,000 new abstracts are uploaded to PubMed, the main biomedical literature reference database. Even in a researcher’s narrowly-defined field, it is impossible to stay on top of the ever-evolving webs of interconnections between these papers. For example, a new gene is described – might it be relevant to a researcher’s specialty? It could take many painstaking hours of searching to discover the answer. Now a new tool developed in the A.C. Tan lab at the University of Colorado Cancer Center and described today in the journalBioinformatics helps researchers make these connections. The free tool, HiPub, is available for download as plugin for the Chrome web browser.

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