SNPPhenA: a corpus for extracting ranked associations of single-nucleotide polymorphisms and phenotypes from literature
Abstract 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 n...
Main Authors: | Behrouz Bokharaeian, Alberto Diaz, Nasrin Taghizadeh, Hamidreza Chitsaz, Ramyar Chavoshinejad |
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Format: | Article |
Language: | English |
Published: |
BMC
2017-04-01
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Series: | Journal of Biomedical Semantics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13326-017-0116-2 |
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