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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://dirros.openscience.si/IzpisGradiva.php?id=19337"><dc:title>PaintOmics 4</dc:title><dc:creator>Liu,	Tianyuan	(Avtor)
	</dc:creator><dc:creator>Salguero,	Pedro	(Avtor)
	</dc:creator><dc:creator>Petek,	Marko	(Avtor)
	</dc:creator><dc:creator>Martinez-Mira,	Carlos	(Avtor)
	</dc:creator><dc:creator>Balzano-Nogueira,	Leandro	(Avtor)
	</dc:creator><dc:creator>Ramšak,	Živa	(Avtor)
	</dc:creator><dc:creator>McIntyre,	Lauren	(Avtor)
	</dc:creator><dc:creator>Gruden,	Kristina	(Avtor)
	</dc:creator><dc:creator>Tarazona,	Sonia	(Avtor)
	</dc:creator><dc:creator>Conesa,	Ana	(Avtor)
	</dc:creator><dc:subject>PaintOmics 4</dc:subject><dc:subject>web tools</dc:subject><dc:subject>datasets</dc:subject><dc:subject>analysis methods</dc:subject><dc:subject>molecular biology</dc:subject><dc:description>PaintOmics is a web server for the integrative analysis and visualisation of multi-omics datasets using biological pathway maps. PaintOmics 4 has several notable updates that improve and extend analyses. Three pathway databases are now supported: KEGG, Reactome and MapMan, providing more comprehensive pathway knowledge for animals and plants. New metabolite analysis methods fill gaps in traditional pathway-based enrichment methods. The metabolite hub analysis selects compounds with a high number of significant genes in their neighbouring network, suggesting regulation by gene expression changes. The metabolite class activity analysis tests the hypothesis that a metabolic class has a higher-than-expected proportion of significant elements, indicating that these compounds are regulated in the experiment. Finally, PaintOmics 4 includes a regulatory omics module to analyse the contribution of trans-regulatory layers (microRNA and transcription factors, RNA-binding proteins) to regulate pathways. We show the performance of PaintOmics 4 on both mouse and plant data to highlight how these new analysis features provide novel insights into regulatory biology. </dc:description><dc:date>2022</dc:date><dc:date>2024-07-16 03:43:36</dc:date><dc:type>Neznano</dc:type><dc:identifier>19337</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
