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CoMAGC specifications

Information


Unique identifier OMICS_25584
Name CoMAGC
Restrictions to use None
Community driven No
Data access Browse
User data submission Not allowed
Maintained No

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Publication for CoMAGC

CoMAGC citation

library_books

Establishing a baseline for literature mining human genetic variants and their relationships to disease cohorts

2016
BMC Med Inform Decis Mak
PMCID: 4959367
PMID: 27454860
DOI: 10.1186/s12911-016-0294-3

[…] est relation extraction methods.A number of corpora are available for the broader task of biological information extraction, but do not specifically consider genetic variants and their relations. The CoMAGC corpus [] does include manually annotated relations, but focuses on gene-cancer relations, and specifically addresses the role of a gene in a given cancer; it is focused on the underlying biolo […]


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CoMAGC institution(s)
Department of Computer Science, KAIST, Daejeon, South Korea; School of Life Sciences, Bioimaging Research Center and Cell Dynamics Research Center, Gwangju Institute of Science and Technology, Gwangju, South Korea; School of Information and Communications, Gwangju Institute of Science and Technology, Gwangju, South Korea
CoMAGC funding source(s)
Supported by the National Research Foundation of Korea (NRF) and by the Korean government (MEST, No. 20110029447; MSIP, No. 2010-0028631).

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