Record added: Sept. 17, 2019, 3:32 a.m.
Record updated: Oct. 14, 2019, 6:18 p.m. by The FAIRsharing Team.

Edits to 'https://fairsharing.org/FAIRsharing.ZKahvn' by 'wubin' at 10:48, 11 Oct 2019 (approved):

	'publications' has been modified:
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			Integrative analysis identifies potential DNA methylation biomarkers for pan-cancer diagnosis and prognosis.|Ding W,Chen G,Shi T|Epigenetics|2019
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			Integrative analysis identifies potential DNA methylation biomarkers for pan-cancer diagnosis and prognosis.|Ding W,Chen G,Shi T|Epigenetics|2019
			DNMIVD: DNA methylation interactive visualization database.|Ding W,Chen J,Feng G,Chen G,Wu J,Guo Y,Ni X,Shi T|Nucleic Acids Res|2019
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			DNMIVD: DNA methylation interactive visualization database.|Ding W,Chen J,Feng G,Chen G,Wu J,Guo Y,Ni X,Shi T|Nucleic Acids Res|2019
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Edits to 'https://fairsharing.org/FAIRsharing.ZKahvn' by 'The FAIRsharing Team' at 10:17, 17 Sep 2019 (approved):

	'supportLinks' has been modified:
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			help|http://119.3.41.228/dnmivd/Help/
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			help|http://119.3.41.228/dnmivd/Help/
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	'related_databases' has been modified:
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			Gene Expression Omnibus
			The Cancer Genome Atlas
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			Gene Expression Omnibus
			The Cancer Genome Atlas
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	'tools' has been modified:
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			Diagnostic / Prognostic Model||http://119.3.41.228/dnmivd/model/
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			Diagnostic / Prognostic Model||http://119.3.41.228/dnmivd/model/
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	'description' has been modified:
		Before: DNMIVD is a comprehensive annotation and interactive visualization database for DNA methylation profile of diverse human cancer constructed with high throughput microarray data from TCGA and GEO databases, and it also integrates some data from Pancan-meQTL and HACER databases. Overall, DNMIVD mainly contains the following important resources:
1) diagnostic and prognostic model for 26 The Cancer Genome Atlas (TCGA) cancer types and visualization based on DNA methylation;
2) meQTL, e-mQTL and pathway-meQTL for diverse cancers;
3) Functional Epigenetic Modules (FEM) inferenced by integrating DNA methylation and gene expression data of TCGA cancers, we provide FEM constructed from Protein-Protein Interactions (PPI) and Co-Occurrence and Mutual Exclusive (COME) network for choice;
4) differentially variable and differentially methylated CpGs (DVMCs), differentially methylated genes (DMGs) as well as enhancers information;
5) correlations between methylation level of gene promoter and corresponding gene expression;
6) survival associated CpGs and genes with different endpoints (such as overall survival time, disease-free interval and progression-free interval).
		After: DNMIVD is a comprehensive annotation and interactive visualization database for DNA methylation profile of diverse human cancer constructed with high throughput microarray data from TCGA and GEO databases, and it also integrates some data from Pancan-meQTL and HACER databases. 

	'dataProcesses' has been modified:
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			Browse Data
			Search Data
			Download
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			Browse Data
			Search Data
			Download
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