MutationFinder: A high-performance system for extracting point mutation mentions from text

J. Gregory Caporaso, William A. Baumgartner, David A. Randolph, K. Bretonnel Cohen, Lawrence Hunter

Research output: Contribution to journalArticle

99 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)1862-1865
Number of pages4
JournalBioinformatics
Volume23
Issue number14
DOIs
StatePublished - Jul 15 2007
Externally publishedYes

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

Fingerprint Dive into the research topics of 'MutationFinder: A high-performance system for extracting point mutation mentions from text'. Together they form a unique fingerprint.

  • Cite this