<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>48(W1)</volume><submitter>Giroux P</submitter><funding>Inserm</funding><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</pubmed_abstract><journal>Nucleic acids research</journal><pagination>W252-W261</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7319447</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>miRViz: a novel webserver application to visualize and interpret microRNA datasets.</pubmed_title><pmcid>PMC7319447</pmcid><pubmed_authors>Denis J</pubmed_authors><pubmed_authors>Bhajun R</pubmed_authors><pubmed_authors>Cherradi N</pubmed_authors><pubmed_authors>Charavay C</pubmed_authors><pubmed_authors>Segard S</pubmed_authors><pubmed_authors>Picquenot C</pubmed_authors><pubmed_authors>Guyon L</pubmed_authors><pubmed_authors>Desquilles L</pubmed_authors><pubmed_authors>Ginestier C</pubmed_authors><pubmed_authors>Giroux P</pubmed_authors><pubmed_authors>Pinna G</pubmed_authors></additional><is_claimable>false</is_claimable><name>miRViz: a novel webserver application to visualize and interpret microRNA datasets.</name><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</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Jul</publication><modification>2026-04-07T20:22:27.765Z</modification><creation>2020-07-05T07:05:15Z</creation></dates><accession>S-EPMC7319447</accession><cross_references><pubmed>32319523</pubmed><doi>10.1093/nar/gkaa259</doi></cross_references></HashMap>