title: Deafness mutation mining using regular expression based pattern matching.
abstract: BACKGROUND
  While keyword based queries of databases such as Pubmed are frequently of great utility, the ability to use regular expressions in place of a keyword can often improve the results output by such databases. Regular expressions can allow for the identification of element types that cannot be readily specified by a single keyword and can allow for different words with similar character sequences to be distinguished.
  
  
  RESULTS
  A Perl based utility was developed to allow the use of regular expressions in Pubmed searches, thereby improving the accuracy of the searches.
  
  
  CONCLUSIONS
  This utility was then utilized to create a comprehensive listing of all DFN deafness mutations discussed in Pubmed records containing the keywords "human ear".
authors.affiliation: Department of Computer Engineering Technology, New York City College of Technology (CUNY), 300 Jay St, Brooklyn, NY 11201, USA. cfrenz@gmail.com
authors.forename: Christopher M
authors.initials: CM
authors.lastname: Frenz
mesh_terms: D000043:Abstracting and Indexing; D015706:Bibliometrics; D003628:Database Management Systems / Q000295:instrumentation*; D003638:Deafness / Q000235:genetics*; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D015201:Meta-Analysis as Topic; D009154:Mutation; D009323:Natural Language Processing; D039781:PubMed