dgn-np:NP415584.RAE44rFq-TGSz3auHTWf77efKkZHtiRnzDPFn03YY1DCY130_provenance {
dgn-np:NP415584.RAE44rFq-TGSz3auHTWf77efKkZHtiRnzDPFn03YY1DCY130_assertion dcterms:description "[Here we compare the performance of seven methods (DNA-Chip Analyzer software (dCHIP), GenoCNA software, allele-specific copy number analysis of tumors (ASCAT), OncoSNP software, genome alteration print (GAP) visualization, CNVpartition software plug-in for the Genome Studio software, and Partek Genomics Suite software) that have been established for two-color CNA analysis on the Illumina platform, using two ovarian cancer cell lines where spectral karyotyping analysis has also been performed, and two tissue samples, one from a highly malignant ovarian cancer and one from a benign ovarian tumor, all of which harbor significantly different genomic abnormalities.]. 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:23623180 ;
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 .
}