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botXminer: mining biomedical literature with a new web-based application

  1. Author:
    Mudunuri, U.
    Stephens, R.
    Bruining, D.
    Liu, D.
    Lebeda, F. J.

  2. Author Address

    NCI, Sci Applicat Int Corp, Adv Biomed Comp Ctr, SAIC Frederick Inc, Frederick, MD 21702 USA. USA, Med Res Inst Infect Dis, Integrated Toxicol Div, Ft Detrick, MD 21702 USA.;Lebeda, FJ, NCI, Sci Applicat Int Corp, Adv Biomed Comp Ctr, SAIC Frederick Inc, Frederick, MD 21702 USA.;frank.lebeda@amedd.army.mil
    1. Year: 2006
    2. Date: Jul
  2. Journal: Nucleic Acids Research
    1. 34
    2. Pages: W748-W752
  4. Type of Article: Article
  5. ISSN: 0305-1048
  1. Abstract:

    This paper outlines botXminer, a publicly available application to search XML-formatted MEDLINE (R) data in a complete, object-relational schema implemented in Oracle (R) XML DB. An advantage offered by botXminer is that it can generate quantitative results with certain queries that are not feasible through the Entrez-PubMed (R) interface. After retrieving citations associated with user-supplied search terms, MEDLINE fields (title, abstract, journal, MeSH (R) and chemical) and terms ( MeSH qualifiers and descriptors, keywords, author, gene symbol and chemical), these citations are grouped and displayed as tabulated or graphic results. This work represents an extension of previous research for integrating these citations with relational systems. botXminer has a user-friendly, intuitive interface that can be freely accessed at http://botdb.abcc.ncifcrf.gov.

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  2. DOI: 10.1093/nar/gkl194
  3. View record in Web of Science®
  4. WOS: 000245650200151

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