http://rdf.disgenet.org/resource/nanopub/NP312645.RACu-_P2SNZTexIq5nOrkzr3XM2wXUFvs11IQP-v9kJYM
type: Nanopublication
created: 2016-05-13T12:44:07+02:00
rights: http://opendatacommons.org/licenses/odbl/1.0/
rights holder: IBIGroup
subject: SIO_000983
used data: disgenetv3.0rdf
authored by: http://orcid.org/0000-0001-5999-6269
authored by: http://orcid.org/0000-0002-7534-7661
authored by: 0000-0002-9383-528X
authored by: http://orcid.org/0000-0003-0169-8159
authored by: http://orcid.org/0000-0003-1244-7654
created by: http://orcid.org/0000-0003-0169-8159
version: v4.0.0.0

http://rdf.disgenet.org/resource/nanopub/NP312645.RACu-_P2SNZTexIq5nOrkzr3XM2wXUFvs11IQP-v9kJYM130_assertion
type: Assertion
description: [The use of the GDA system has greatly facilitated the screening and retrieval of sequence information and has generated useful information on the cascade of molecular events occurring in ALS and potentially may highlight new candidates playing a role in the aetiology and progression of this disease.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine.
evidence: DisGeNET evidence - LITERATURE
SIO_000772: http://identifiers.org/pubmed/11279269
was generated by: ECO_0000203

befree-2016
imported on: 2016-02-19

DisGeNET evidence - LITERATURE
type: ECO_0000212
comment: Gene-disease associations inferred from text-mining the literature.

disgenetv3.0rdf
version: v4.0.0