title: MutationFinder: a high-performance system for extracting point mutation mentions from text.
abstract: Discussion of point mutations is ubiquitous in biomedical literature, and manually compiling databases or literature on mutations in specific genes or proteins is tedious. We present an open-source, rule-based system, MutationFinder, for extracting point mutation mentions from text. On blind test data, it achieves nearly perfect precision and a markedly improved recall over a baseline.
  
  
  BACKGROUND
  MutationFinder, along with a high-quality gold standard data set, and a scoring script for mutation extraction systems have been made publicly available. Implementations, source code and unit tests are available in Python, Perl and Java. MutationFinder can be used as a stand-alone script, or imported by other applications.
  http://bionlp.sourceforge.net.
authors.affiliation: Department of Biochemistry and Molecular Genetics, University of Colorado Health Sciences Center, Aurora, CO, USA. gregcaporaso@gmail.com
authors.forename: J Gregory
authors.initials: JG
authors.lastname: Caporaso
authors.forename: William A
authors.initials: WA
authors.lastname: Baumgartner
authors.forename: David A
authors.initials: DA
authors.lastname: Randolph
authors.forename: K Bretonnel
authors.initials: KB
authors.lastname: Cohen
authors.forename: Lawrence
authors.initials: L
authors.lastname: Hunter
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D004252:DNA Mutational Analysis; D016206:Databases, Bibliographic; D030541:Databases, Genetic; D030562:Databases, Protein; D005821:Genetic Techniques; D006801:Humans; D009154:Mutation; D010363:Pattern Recognition, Automated; D017354:Point Mutation; D011642:Publications; D015203:Reproducibility of Results; D012984:Software