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http://rdf.disgenet.org/nanopublications.trig#NP679610.RAvE4Ss7GwpA8lGY549715hrb2DbZRcpeM6qDV9KJjsAQ
> .
@prefix rdfs: <
http://www.w3.org/2000/01/rdf-schema#
> .
@prefix xsd: <
http://www.w3.org/2001/XMLSchema#
> .
@prefix sio: <
http://semanticscience.org/resource/
> .
@prefix ncit: <
http://ncicb.nci.nih.gov/xml/owl/EVS/Thesaurus.owl#
> .
@prefix lld: <
http://linkedlifedata.com/resource/umls/id/
> .
@prefix miriam-gene: <
http://identifiers.org/ncbigene/
> .
@prefix miriam-pubmed: <
http://identifiers.org/pubmed/
> .
@prefix eco: <
http://purl.obolibrary.org/obo/eco.owl#
> .
@prefix wi: <
http://purl.org/ontology/wi/core#
> .
@prefix prov: <
http://www.w3.org/ns/prov#
> .
@prefix pav: <
http://purl.org/pav/2.0/
> .
@prefix prv: <
http://purl.org/net/provenance/ns#
> .
@prefix dcterms: <
http://purl.org/dc/terms/
> .
@prefix np: <
http://www.nanopub.org/nschema#
> .
@prefix dgn-np: <
http://rdf.disgenet.org/nanopublications.trig#
> .
@prefix dgn-gda: <
http://rdf.disgenet.org/gene-disease-association.ttl#
> .
@prefix dgn-void: <
http://rdf.disgenet.org/v2.1.0/void.ttl#
> .
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{
this:
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dgn-np:NP679610.RAvE4Ss7GwpA8lGY549715hrb2DbZRcpeM6qDV9KJjsAQ130_assertion
;
np:hasProvenance
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np:hasPublicationInfo
dgn-np:NP679610.RAvE4Ss7GwpA8lGY549715hrb2DbZRcpeM6qDV9KJjsAQ130_publicationInfo
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a
np:Nanopublication
.
dgn-np:NP679610.RAvE4Ss7GwpA8lGY549715hrb2DbZRcpeM6qDV9KJjsAQ130_assertion
a
np:Assertion
.
dgn-np:NP679610.RAvE4Ss7GwpA8lGY549715hrb2DbZRcpeM6qDV9KJjsAQ130_provenance
a
np:Provenance
.
dgn-np:NP679610.RAvE4Ss7GwpA8lGY549715hrb2DbZRcpeM6qDV9KJjsAQ130_publicationInfo
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.
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{
miriam-gene:4135
a
ncit:C16612
.
lld:C0006826
a
ncit:C7057
.
dgn-gda:DGN858bcbc83b4fee79336356ee52ec91f0
sio:SIO_000628
miriam-gene:4135
,
lld:C0006826
;
a
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.
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dgn-np:NP679610.RAvE4Ss7GwpA8lGY549715hrb2DbZRcpeM6qDV9KJjsAQ130_provenance
{
dgn-np:NP679610.RAvE4Ss7GwpA8lGY549715hrb2DbZRcpeM6qDV9KJjsAQ130_assertion
dcterms:description
"[Integrating our driver predictions with information on somatic copy number alterations, we find that the distribution and potency of TSGs (STOP genes), OGs, and essential genes (GO genes) on chromosomes can predict the complex patterns of aneuploidy and copy number variation characteristic of cancer genomes.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine."@en ;
wi:evidence
dgn-void:source_evidence_literature
;
sio:SIO_000772
miriam-pubmed:24183448
;
prov:wasDerivedFrom
dgn-void:befree-20140225
;
prov:wasGeneratedBy
eco:ECO_0000203
.
dgn-void:befree-20140225
pav:importedOn
"2014-02-25"^^
xsd:date
.
dgn-void:source_evidence_literature
a
eco:ECO_0000212
;
rdfs:comment
"Gene-disease associations inferred from text-mining the literature."@en ;
rdfs:label
"DisGeNET evidence - LITERATURE"@en .
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dgn-np:NP679610.RAvE4Ss7GwpA8lGY549715hrb2DbZRcpeM6qDV9KJjsAQ130_publicationInfo
{
this:
dcterms:created
"2014-10-02T12:38:50+02:00"^^
xsd:dateTime
;
dcterms:rights
<
http://opendatacommons.org/licenses/odbl/1.0/
> ;
dcterms:rightsHolder
dgn-void:IBIGroup
;
dcterms:subject
sio:SIO_000983
;
prv:usedData
dgn-void:disgenetrdf
;
pav:authoredBy
<
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> , <
http://orcid.org/0000-0002-7534-7661
> , <
http://orcid.org/0000-0002-9383-528X
> , <
http://orcid.org/0000-0003-0169-8159
> , <
http://orcid.org/0000-0003-1244-7654
> ;
pav:createdBy
<
http://orcid.org/0000-0003-0169-8159
> ;
pav:version
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