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dc.contributor.authorFehlmann, Tobias
dc.contributor.authorKern, Fabian
dc.contributor.authorLaham, Omar
dc.contributor.authorBackes, Christina
dc.contributor.authorSolomon, Jeffrey
dc.contributor.authorHirsch, Pascal
dc.contributor.authorVolz, Carsten
dc.contributor.authorMüller, Rolf
dc.contributor.authorKeller, Andreas
dc.date.accessioned2021-06-08T09:10:49Z
dc.date.available2021-06-08T09:10:49Z
dc.date.issued2021-04-19
dc.identifier.citationNucleic Acids Res. 2021 Apr 19:gkab268. doi: 10.1093/nar/gkab268. Epub ahead of print.en_US
dc.identifier.pmid33872372
dc.identifier.doi10.1093/nar/gkab268
dc.identifier.urihttp://hdl.handle.net/10033/622897
dc.description.abstractAnalyzing all features of small non-coding RNA sequencing data can be demanding and challenging. To facilitate this process, we developed miRMaster. After the analysis of over 125 000 human samples and 1.5 trillion human small RNA reads over 4 years, we present miRMaster 2 with a wide range of updates and new features. We extended our reference data sets so that miRMaster 2 now supports the analysis of eight species (e.g. human, mouse, chicken, dog, cow) and 10 non-coding RNA classes (e.g. microRNAs, piRNAs, tRNAs, rRNAs, circRNAs). We also incorporated new downstream analysis modules such as batch effect analysis or sample embeddings using UMAP, and updated annotation data bases included by default (miRBase, Ensembl, GtRNAdb). To accommodate the increasing popularity of single cell small-RNA sequencing data, we incorporated a module for unique molecular identifier (UMI) processing. Further, the output tables and graphics have been improved based on user feedback and new output formats that emerged in the community are now supported (e.g. miRGFF3). Finally, we integrated differential expression analysis with the miRNA enrichment analysis tool miEAA. miRMaster is freely available at https://www.ccb.uni-saarland.de/mirmaster2.en_US
dc.language.isoenen_US
dc.publisherOxford University Pressen_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titlemiRMaster 2.0: multi-species non-coding RNA sequencing analyses at scale.en_US
dc.typeArticleen_US
dc.identifier.eissn1362-4962
dc.contributor.departmentHIPS, Helmholtz-Institut für Pharmazeutische Forschung Saarland, Universitätscampus E8.1 66123 Saarbrücken, Germany.en_US
dc.identifier.journalNucleic acids researchen_US
refterms.dateFOA2021-06-08T09:10:49Z
dc.source.journaltitleNucleic acids research
dc.source.countryEngland


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Attribution 4.0 International
Except where otherwise noted, this item's license is described as Attribution 4.0 International