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PMID: 17495998 Published · ppublish English Journal Article Research Support, N.I.H., Extramural

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

Bioinformatics (Oxford, England) ·Vol. 23 ·No. 14 ·2007-07-15 ·Pages 1862-5

Caporaso JG, Baumgartner WA, Randolph DA, Cohen KB, Hunter L

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. 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.

MeSH Terms
Algorithms Computational Biology/methods DNA Mutational Analysis Databases, Bibliographic Databases, Genetic Databases, Protein Genetic Techniques Humans Mutation Pattern Recognition, Automated Point Mutation Publications Reproducibility of Results Software
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Caporaso J Gregory
Department of Biochemistry and Molecular Genetics, University of Colorado Health Sciences Center, Aurora, CO, USA. gregcaporaso@gmail.com
Baumgartner William A
Randolph David A
Cohen K Bretonnel
Hunter Lawrence
References (5)
5 references, click to expand
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Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4811
Published
2007-07-15
Epub
2007-00-11
Pages
1862-5
Language
English
Region
England
NLM ID
9808944
PMCID
PMC2516306
Subset
IM
Grants
NLM NIH HHS · R01 LM009254 · United States
NLM NIH HHS · R01 LM009254-02 · United States
PHS HHS · R01-NLM-009254 · United States
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