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Text Mining of Biological Resources

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  1. Blagosklonny MV, Pardee AB. Unearthing the gems. Nature. 2002;416(6879):373.

    Article  Google Scholar 

  2. Database of Interacting Proteins: http://dip.doe-mbi.ucla.edu/

  3. Entrez Gene: http://www.ncbi.nlm.nih.gov/sites/entrez?db=gene

  4. Gene Ontology: http://www.geneontology.org/

  5. Gordon MD, Lindsay RK. Toward discovery support systems: a replication, reexamination, and extension of Swanson’s work on literature-based discovery of a connection between Raynaud’s and fish oil. J Am Soc Inf Sci. 1996;47(2):116–28.

    Article  Google Scholar 

  6. iHOP: http://www.ihop-net.org/UniPub/iHOP/

  7. Perez-Iratxeta C, Bork P, Andrade MA. Association of genes to genetically inherited diseases using data mining. Nat Genet. 2002;31(3):316–9.

    Article  Google Scholar 

  8. RefSeq, http://www.ncbi.nlm.nih.gov/RefSeq/

  9. Seki K, Mostafa J. Discovering implicit associations between genes and hereditary diseases. In: Proceedings of the 12th Pacific Symposium on Bio-computing; 2007. p. 316–27.

    Google Scholar 

  10. Smalheiser NR, Swanson DR. Linking estrogen to Alzheimer’s disease: an informatics approach. Neurology. 1996;47:809–10.

    Article  Google Scholar 

  11. Srinivasan P. Text mining: generating hypotheses from MEDLINE. J Am Soc Inf Sci Technol. 2004;55(5):396–413.

    Article  Google Scholar 

  12. Srinivasan P, Libbus B. Mining MEDLINE for implicit links between dietary substances and diseases. Bioinformatics. 2004;20(Suppl 1):I290–6.

    Article  Google Scholar 

  13. Swanson DR. Fish oil, Raynaud’s syndrome, and undiscovered public knowledge. Perspect Biol Med. 1986;30(1):7–18.

    Article  Google Scholar 

  14. Swanson DR, Smalheiser NR, Bookstein A. Information discovery from complementary literatures: categorizing viruses as potential weapons. J Am Soc Inf Sci Technol. 2001;52(10):797–812.

    Article  Google Scholar 

  15. Weeber M, Kors JA, Mons B. Online tools to support literature-based discovery in the life sciences. Brief Bioinform. 2005;6(3):277–86. https://doi.org/10.1093/bib/6.3.277.

    Article  Google Scholar 

  16. Weeber M, Vos R, Klein H, de Jong-Van den Berg LTW, Aronson A, Molema G. Generating hypotheses by discovering implicit associations in the literature: a case report for new potential therapeutic uses for thalidomide. J Am Med Inform Assoc. 2003;10(3):252–9.

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. The University of Iowa, Iowa City, IA, USA

    Padmini Srinivasan

Authors
  1. Padmini Srinivasan
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Corresponding author

Correspondence to Padmini Srinivasan .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

Section Editor information

  1. Robert H. Smith School of Business, University of Maryland, College Park, MD, USA

    Louiqa Raschid

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Srinivasan, P. (2018). Text Mining of Biological Resources. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_635

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