New search app gleans ‘collective consciousness’ from a massive research database

The PubMed database contains more than 33 million papers that represent the ‘collective consciousness’ of what humans know about biomedicine. It is impossible for researchers to keep up with this vast literature where more than 1,000 new papers get added daily.

A new web application, KinderMiner Web, developed by Ron Stewart’s Bioinformatics Group at the Morgridge Institute for Research, gives researchers a fighting chance.

KinderMiner Web tackles the challenge by automatically searching through the 33 million PubMed abstracts for connections between each of the targets and the key phrase. It also provides a fast and comprehensive way to prioritize the most relevant targets, steering scientists to a manageable list of the top targets for wet lab validation.

The web application is now free and available to the scientific world.

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