Using the iHOP information resource to mine the biomedical literature on genes, proteins, and chemical compounds

Current Protocols in Bioinformatics
Robert Hoffmann

Abstract

The iHOP (Information Hyperlinked over Proteins) resource employs sophisticated text-mining methods to assist researchers in their quest for information on specific genes and proteins, their physical interactions and regulatory relationships, their relevance in pathologies, and their interactions with chemical compounds. iHOP parses thousands of PubMed documents every day and collects information specific to thousands of different biological molecules. Rather than providing long lists of entire abstracts upon keyword searches, iHOP selectively retrieves information that is specific to genes and proteins, and summarizes their interactions and functions. In iHOP, with genes and proteins acting as hyperlinks between sentences and abstracts, a large part of the PubMed knowledgebase becomes a giant navigable information network.

References

Jul 1, 2004·Nature Genetics·Robert Hoffmann, Alfonso Valencia
Oct 6, 2005·Bioinformatics·Robert Hoffmann, Alfonso Valencia

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Citations

Nov 20, 2009·Nucleic Acids Research·Nuno L Barbosa-MoraisSimon Tavaré
Dec 15, 2018·Systems Biology in Reproductive Medicine·M R NagarajaRamars Amanchy
Aug 23, 2019·PLoS Computational Biology·Somnath TagoreMilana Frenkel-Morgenstern
Jun 23, 2015·Current Protocols in Bioinformatics·Andreas D Baxevanis, Alex Bateman
Oct 24, 2017·NPJ Systems Biology and Applications·Aline MétrisTamas Korcsmáros

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