SRNAbench and sRNAtoolbox 2022 update: accurate miRNA and sncRNA profiling for model and non-model organisms. Issue Volume 50:Issue W1(2022) (12th May 2022)

• Record Type: Journal Article
• Authors: Aparicio-Puerta, Ernesto; Gómez-Martín, Cristina; Giannoukakos, Stavros; Medina, José María; Scheepbouwer, Chantal; García-Moreno, Adrián; Carmona-Saez, Pedro; Fromm, Bastian; Pegtel, Michiel; Keller, Andreas; Marchal, Juan Antonio; Hackenberg, Michael
• Is Part Of: Nucleic acids research. Volume 50:Issue W1(2022)
• Page Start: W710
• Page End: W717
• Publication Date: 2022-05-12
• Subjects: Nucleic acids -- Periodicals; Molecular biology -- Periodicals; 572.805
• DOI: 10.1093/nar/gkac363
• Languages: English
• ISSNs: 0305-1048

Abstract

Abstract: The NCBI Sequence Read Archive currently hosts microRNA sequencing data for over 800 different species, evidencing the existence of a broad taxonomic distribution in the field of small RNA research. Simultaneously, the number of samples per miRNA-seq study continues to increase resulting in a vast amount of data that requires accurate, fast and user-friendly analysis methods. Since the previous release of sRNAtoolbox in 2019, 55 000 sRNAbench jobs have been submitted which has motivated many improvements in its usability and the scope of the underlying annotation database. With this update, users can upload an unlimited number of samples or import them from Google Drive, Dropbox or URLs. Micro- and small RNA profiling can now be carried out using high-confidence Metazoan and plant specific databases, MirGeneDB and PmiREN respectively, together with genome assemblies and libraries from 441 Ensembl species. The new results page includes straightforward sample annotation to allow downstream differential expression analysis with sRNAde. Unassigned reads can also be explored by means of a new tool that performs mapping to microbial references, which can reveal contamination events or biologically meaningful findings as we describe in the example. sRNAtoolbox is available at: https://arn.ugr.es/srnatoolbox/ . Graphical Abstract: