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sRNAbench and sRNAtoolbox 2022 update: accurate miRNA and sncRNA profiling for model and non-model organisms.
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.
Afiliação
  • Aparicio-Puerta E; Chair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
  • Gómez-Martín C; Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC, VU University, Amsterdam 1081HV, Netherlands.
  • Giannoukakos S; Genetics Department, Faculty of Science, Universidad de Granada, Campus de Fuentenueva s/n, 18071 Granada, Spain.
  • Medina JM; Bioinformatics Laboratory, Biomedical Research Centre (CIBM), PTS, Avda. del Conocimiento s/n, 18100 Granada, Spain.
  • Scheepbouwer C; Excellence Research Unit "Modeling Nature" (MNat), University of Granada, Spain.
  • García-Moreno A; Genetics Department, Faculty of Science, Universidad de Granada, Campus de Fuentenueva s/n, 18071 Granada, Spain.
  • Carmona-Saez P; Bioinformatics Laboratory, Biomedical Research Centre (CIBM), PTS, Avda. del Conocimiento s/n, 18100 Granada, Spain.
  • Fromm B; Excellence Research Unit "Modeling Nature" (MNat), University of Granada, Spain.
  • Pegtel M; Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC, VU University, Amsterdam 1081HV, Netherlands.
  • Keller A; Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam UMC, VU University, Amsterdam 1081HV, Netherlands.
  • Marchal JA; Centre for Genomics and Oncological Research. GENYO. Pfizer / University of Granada,18016 Granada, Spain.
  • Hackenberg M; Centre for Genomics and Oncological Research. GENYO. Pfizer / University of Granada,18016 Granada, Spain.
Nucleic Acids Res ; 50(W1): W710-W717, 2022 07 05.
Article em En | MEDLINE | ID: mdl-35556129
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/.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: MicroRNAs / Pequeno RNA não Traduzido Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: MicroRNAs / Pequeno RNA não Traduzido Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2022 Tipo de documento: Article