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dc.contributor.author | Liu, Tianyuan | es_ES |
dc.contributor.author | Salguero-García, Pedro | es_ES |
dc.contributor.author | Petek, Marko | es_ES |
dc.contributor.author | Martínez-Mira, Carlos | es_ES |
dc.contributor.author | Balzano-Nogueira, Leandro | es_ES |
dc.contributor.author | Ramsak, Ziva | es_ES |
dc.contributor.author | McIntyre, Lauren | es_ES |
dc.contributor.author | Gruden, Kristina | es_ES |
dc.contributor.author | Tarazona, Sonia | es_ES |
dc.contributor.author | Conesa, Ana | es_ES |
dc.date.accessioned | 2023-03-27T18:01:35Z | |
dc.date.available | 2023-03-27T18:01:35Z | |
dc.date.issued | 2022-07-05 | es_ES |
dc.identifier.issn | 0305-1048 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/192625 | |
dc.description.abstract | [EN] 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-thanexpected 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 transregulatory 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. PaintOmics 4 is available at https://paintomics.org/. | es_ES |
dc.description.sponsorship | Spanish Ministry of Science and Innovation [BIO20151658-R and PID2020-119537RB-100 to A.C. and S.T.]; National Institutes of Health [R03 CA222444 to A.C. and L.M.M.]; SloveneResearch Agency Program [P4-0165]; European Union's Horizon 2020 [GA 2020 862-858]; COST Action CA15110 STSM travel grant supported by European Cooperation in Science and Technology; Generalitat Valenciana [ACIF2019/081 to P.S.]. Spanish Ministry of Science and Innovation. Funding for open access charge: Spanish Ministry of Science and Innovation [PID2020119537RB-100]. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Oxford University Press | es_ES |
dc.relation.ispartof | Nucleic Acids Research | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject.classification | ESTADISTICA E INVESTIGACION OPERATIVA | es_ES |
dc.title | PaintOmics 4: new tools for the integrative analysis of multi-omics datasets supported by multiple pathway databases | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1093/nar/gkac352 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-119537RB-I00/ES/INTEGRACION DE DATOS MULTI-OMICOS PARA LA INFERENCIA DE MODELOS MULTI-CAPA DE ENFERMEDAD/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC//GA 2020 862-858/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//BIO2015-71658-R/ES/NUEVOS METODOS PARA LOS RETOS EMERGENTES EN EL ANALISIS DE DATOS DE SECUENCIACION MASIVA/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//ACIF%2F2019%2F081/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NIH//R03 CA222444/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/COST//CA15110//COST Action/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/ARRS//P4-0165/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica | es_ES |
dc.description.bibliographicCitation | Liu, T.; Salguero-García, P.; Petek, M.; Martínez-Mira, C.; Balzano-Nogueira, L.; Ramsak, Z.; Mcintyre, L.... (2022). PaintOmics 4: new tools for the integrative analysis of multi-omics datasets supported by multiple pathway databases. Nucleic Acids Research. 50(W1):1-9. https://doi.org/10.1093/nar/gkac352 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1093/nar/gkac352 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 9 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 50 | es_ES |
dc.description.issue | W1 | es_ES |
dc.identifier.pmid | 35609982 | es_ES |
dc.identifier.pmcid | PMC9252773 | es_ES |
dc.relation.pasarela | S\465998 | es_ES |
dc.contributor.funder | European Commission | es_ES |
dc.contributor.funder | Generalitat Valenciana | es_ES |
dc.contributor.funder | Slovenian Research Agency | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |
dc.contributor.funder | National Institutes of Health, EEUU | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |
dc.contributor.funder | European Cooperation in Science and Technology | es_ES |