{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["48(W1)"],"submitter":["Giroux P"],"funding":["Inserm"],"pubmed_abstract":["MicroRNAs (miRNAs) are small non-coding RNAs that are involved in the regulation of major pathways in eukaryotic cells through their binding to and repression of multiple mRNAs. With high-throughput methodologies, various outcomes can be measured that produce long lists of miRNAs that are often difficult to interpret. A common question is: after differential expression or phenotypic screening of miRNA mimics, which miRNA should be chosen for further investigation? Here, we present miRViz (http://mirviz.prabi.fr/), a webserver application designed to visualize and interpret large miRNA datasets, with no need for programming skills. MiRViz has two main goals: (i) to help biologists to raise data-driven hypotheses and (ii) to share miRNA datasets in a straightforward way through publishable q"],"journal":["Nucleic acids research"],"pagination":["W252-W261"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7319447"],"repository":["biostudies-literature"],"pubmed_title":["miRViz: a novel webserver application to visualize and interpret microRNA datasets."],"pmcid":["PMC7319447"],"pubmed_authors":["Denis J","Bhajun R","Cherradi N","Charavay C","Segard S","Picquenot C","Guyon L","Desquilles L","Ginestier C","Giroux P","Pinna G"],"additional_accession":[]},"is_claimable":false,"name":"miRViz: a novel webserver application to visualize and interpret microRNA datasets.","description":"MicroRNAs (miRNAs) are small non-coding RNAs that are involved in the regulation of major pathways in eukaryotic cells through their binding to and repression of multiple mRNAs. With high-throughput methodologies, various outcomes can be measured that produce long lists of miRNAs that are often difficult to interpret. A common question is: after differential expression or phenotypic screening of miRNA mimics, which miRNA should be chosen for further investigation? Here, we present miRViz (http://mirviz.prabi.fr/), a webserver application designed to visualize and interpret large miRNA datasets, with no need for programming skills. MiRViz has two main goals: (i) to help biologists to raise data-driven hypotheses and (ii) to share miRNA datasets in a straightforward way through publishable q","dates":{"release":"2020-01-01T00:00:00Z","publication":"2020 Jul","modification":"2026-04-07T20:22:27.765Z","creation":"2020-07-05T07:05:15Z"},"accession":"S-EPMC7319447","cross_references":{"pubmed":["32319523"],"doi":["10.1093/nar/gkaa259"]}}