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Article

SNPPhenA: a corpus for extracting ranked associations of single-nucleotide polymorphisms and phenotypes from literature.

Journal of biomedical semantics - 7 Apr 2017

Bokharaeian Behrouz, Diaz Alberto, Taghizadeh Nasrin, Chitsaz Hamidreza, Chavoshinejad Ramyar

Abstract excerpt

BACKGROUND: Single Nucleotide Polymorphisms (SNPs) are among the most important types of genetic variations influencing common diseases and phenotypes. Recently, some corpora and methods have been developed with the purpose of extracting mutations and diseases from texts. However, there is no available corpus, for extracting associations from texts, that is annotated with linguistic-based negation, modality...

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PMID: 28388928
DOI: 10.1186/s13326-017-0116-2
PMCID: PMC5383945

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