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PaintOmics 4: new tools for the integrative analysis of multi-omics datasets supported by multiple pathway databases.
Liu, Tianyuan; Salguero, Pedro; Petek, Marko; Martinez-Mira, Carlos; Balzano-Nogueira, Leandro; Ramsak, Ziva; McIntyre, Lauren; Gruden, Kristina; Tarazona, Sonia; Conesa, Ana.
Afiliação
  • Liu T; Department of Mechanical Engineering, School of Engineering, Cardiff University, Cardiff, UK.
  • Salguero P; Department of Applied Statistics, Operations Research and Quality, Universitat Politècnica de València, Valencia, Spain.
  • Petek M; Department of Biotechnology and Systems Biology, National Institute of Biology, Ljubljana, Slovenia.
  • Martinez-Mira C; Biobam Bioinformatics, Valencia, Spain.
  • Balzano-Nogueira L; Diabetes Institute, University of Florida, Gainesville, USA.
  • Ramsak Z; Department of Biotechnology and Systems Biology, National Institute of Biology, Ljubljana, Slovenia.
  • McIntyre L; Department of Molecular Genetics and Microbiology, Genetics Institute, University of Florida, Gainesville, USA.
  • Gruden K; Department of Biotechnology and Systems Biology, National Institute of Biology, Ljubljana, Slovenia.
  • Tarazona S; Department of Applied Statistics, Operations Research and Quality, Universitat Politècnica de València, Valencia, Spain.
  • Conesa A; Institute for Integrative Systems Biology, Spanish National Research Council (CSIC), Paterna, Spain.
Nucleic Acids Res ; 50(W1): W551-W559, 2022 07 05.
Article em En | MEDLINE | ID: mdl-35609982
ABSTRACT
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. PaintOmics 4 is available at https//paintomics.org/.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: MicroRNAs / Multiômica Limite: Animals Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: MicroRNAs / Multiômica Limite: Animals Idioma: En Ano de publicação: 2022 Tipo de documento: Article