Literature DB >> 16204114

Implementing the iHOP concept for navigation of biomedical literature.

Robert Hoffmann1, Alfonso Valencia.   

Abstract

MOTIVATION: The World Wide Web has profoundly changed the way in which we access information. Searching the internet is easy and fast, but more importantly, the interconnection of related contents makes it intuitive and closer to the associative organization of human memory. However, the information retrieval tools currently available to researchers in biology and medicine lag far behind the possibilities that the layman has come to expect from the internet.
RESULTS: By using genes and proteins as hyperlinks between sentences and abstracts, the information in PubMed can be converted into one navigable resource. iHOP (Information Hyperlinked over Proteins) is an online service that provides this gene-guided network as a natural way of accessing millions of PubMed abstracts and brings all the advantages of the internet to scientific literature research. Navigating across interrelated sentences within this network is closer to human intuition than the use of conventional keyword searches and allows for stepwise and controlled acquisition of information. Moreover, this literature network can be superimposed upon experimental interaction data to facilitate the simultaneous analysis of novel and existing knowledge. The network presented in iHOP currently contains5 million sentences and 40 000 genes from Homo sapiens, Mus musculus, Drosophila melanogaster, Caenorhabditis elegans, Danio rerio, Arabidopsis thaliana, Saccharomyces cerevisiae and Escherichia coli. AVAILABILITY: iHOP is freely accessible at http://www.pdg.cnb.uam.es/UniPub/iHOP/

Entities:  

Mesh:

Year:  2005        PMID: 16204114     DOI: 10.1093/bioinformatics/bti1142

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  81 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-19       Impact factor: 11.205

3.  Temporal patterns of genes in scientific publications.

Authors:  Thomas Pfeiffer; Robert Hoffmann
Journal:  Proc Natl Acad Sci U S A       Date:  2007-07-09       Impact factor: 11.205

Review 4.  Bioinformatics and cancer research: building bridges for translational research.

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Review 7.  Recent progress in automatically extracting information from the pharmacogenomic literature.

Authors:  Yael Garten; Adrien Coulet; Russ B Altman
Journal:  Pharmacogenomics       Date:  2010-10       Impact factor: 2.533

8.  Text mining and manual curation of chemical-gene-disease networks for the comparative toxicogenomics database (CTD).

Authors:  Thomas C Wiegers; Allan Peter Davis; K Bretonnel Cohen; Lynette Hirschman; Carolyn J Mattingly
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9.  PLAN2L: a web tool for integrated text mining and literature-based bioentity relation extraction.

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Journal:  Nucleic Acids Res       Date:  2009-06-11       Impact factor: 16.971

10.  The Modular Organization of Protein Interactions in Escherichia coli.

Authors:  José M Peregrín-Alvarez; Xuejian Xiong; Chong Su; John Parkinson
Journal:  PLoS Comput Biol       Date:  2009-10-02       Impact factor: 4.475

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