Literature DB >> 18428678

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

Robert Hoffmann1.   

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. (c) 2007 by John Wiley & Sons, Inc.

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Year:  2007        PMID: 18428678     DOI: 10.1002/0471250953.bi0116s20

Source DB:  PubMed          Journal:  Curr Protoc Bioinformatics        ISSN: 1934-3396


  7 in total

1.  Mesenchymal stem cells and their chondrogenic differentiated and dedifferentiated progeny express chemokine receptor CCR9 and chemotactically migrate toward CCL25 or serum.

Authors:  Mujib Ullah; Jan Eucker; Michael Sittinger; Jochen Ringe
Journal:  Stem Cell Res Ther       Date:  2013-08-19       Impact factor: 6.832

2.  OntoGene web services for biomedical text mining.

Authors:  Fabio Rinaldi; Simon Clematide; Hernani Marques; Tilia Ellendorff; Martin Romacker; Raul Rodriguez-Esteban
Journal:  BMC Bioinformatics       Date:  2014-11-27       Impact factor: 3.169

3.  ProtFus: A Comprehensive Method Characterizing Protein-Protein Interactions of Fusion Proteins.

Authors:  Somnath Tagore; Alessandro Gorohovski; Lars Juhl Jensen; Milana Frenkel-Morgenstern
Journal:  PLoS Comput Biol       Date:  2019-08-22       Impact factor: 4.475

4.  A re-annotation pipeline for Illumina BeadArrays: improving the interpretation of gene expression data.

Authors:  Nuno L Barbosa-Morais; Mark J Dunning; Shamith A Samarajiwa; Jeremy F J Darot; Matthew E Ritchie; Andy G Lynch; Simon Tavaré
Journal:  Nucleic Acids Res       Date:  2009-11-18       Impact factor: 16.971

5.  Reverse differentiation as a gene filtering tool in genome expression profiling of adipogenesis for fat marker gene selection and their analysis.

Authors:  Mujib Ullah; Stefan Stich; Thomas Häupl; Jan Eucker; Michael Sittinger; Jochen Ringe
Journal:  PLoS One       Date:  2013-07-26       Impact factor: 3.240

6.  GCGene: a gene resource for gastric cancer with literature evidence.

Authors:  Min Zhao; Luming Chen; Yining Liu; Hong Qu
Journal:  Oncotarget       Date:  2016-06-07

7.  SalmoNet, an integrated network of ten Salmonella enterica strains reveals common and distinct pathways to host adaptation.

Authors:  Aline Métris; Padhmanand Sudhakar; David Fazekas; Amanda Demeter; Eszter Ari; Marton Olbei; Priscilla Branchu; Rob A Kingsley; Jozsef Baranyi; Tamas Korcsmáros
Journal:  NPJ Syst Biol Appl       Date:  2017-10-18
  7 in total

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