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botXminer: mining biomedical literature with a new web-based application
Science Applications International Corporation-Frederick, Advanced Biomedical Computing Center, SAIC-Frederick Inc., National Cancer Institute-Frederick Frederick, MD 21702, USA 1 US Army Medical Research Institute for Infectious Diseases, Integrated Toxicology Division Fort Detrick, MD 21702-5011, USA
*To whom correspondence should be addressed: Tel: +1 301 619 4279; Fax: +1 301 619 2348; Email: frank.lebeda{at}amedd.army.mil
Received February 21, 2006. Revised March 21, 2006. Accepted March 21, 2006.
This paper outlines botXminer, a publicly available application to search XML-formatted MEDLINE® data in a complete, object-relational schema implemented in Oracle® 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® interface. After retrieving citations associated with user-supplied search terms, MEDLINE fields (title, abstract, journal, MeSH® 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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