dc.contributor.author | Aparicio Puerta, Ernesto | |
dc.contributor.author | Gómez Martín, Cristina | |
dc.contributor.author | Giannoukakos, Stavros Panagiotis | |
dc.contributor.author | Medina Muñoz, José María | |
dc.date.accessioned | 2020-10-21T09:47:02Z | |
dc.date.available | 2020-10-21T09:47:02Z | |
dc.date.issued | 2020-06-02 | |
dc.identifier.citation | Aparicio-Puerta, E., Gómez-Martín, C., Giannoukakos, S., Medina, J. M., Marchal, J. A., & Hackenberg, M. (2020). mirnaQC: a webserver for comparative quality control of miRNA-seq data. Nucleic Acids Research. [doi: 10.1093/nar/gkaa452] | es_ES |
dc.identifier.other | https://arn.ugr.es/mirnaqc/. | |
dc.identifier.uri | http://hdl.handle.net/10481/63840 | |
dc.description | This work was supported by European Union [765492];
Spanish Government [AGL2017-88702-C2-2-R] to M.H.;
Consejer´ıa de Econom´ıa, Conocimiento, Empresas y Universidad
de la Junta de Andaluc´ıa and European Regional
Development Funds (ERDF) [SOMM17-6109,
UCE-PP2017-3] to J.A.M. and M.H.; Instituto de Salud
Carlos III, ERDF funds [PIE16/00045] to J.A.M.; Chair
‘Doctors Galera-Requena in cancer stem cell research’ (to
J.A.M.); Instituto de Salud Carlos III [IFI16/00041] to E.A.
Funding for open access charges: Excellence Research Unit
“Modelling Nature” (MNat) [SOMM17-6109].
Conflict of interest statement. None declared. | es_ES |
dc.description.abstract | Although miRNA-seq is extensively used in many
different fields, its quality control is frequently restricted
to a PhredScore-based filter. Other important
quality related aspects like microRNA yield, the
fraction of putative degradation products (such as
rRNA fragments) or the percentage of adapter-dimers
are hard to assess using absolute thresholds. Here
we present mirnaQC, a webserver that relies on 34
quality parameters to assist in miRNA-seq quality
control. To improve their interpretability, quality attributes
are ranked using a reference distribution obtained
from over 36 000 publicly availablemiRNA-seq
datasets. Accepted input formats include FASTQ and
SRA accessions. The results page contains several
sections that deal with putative technical artefacts related
to library preparation, sequencing, contamination
or yield. Different visualisations, including PCA
and heatmaps, are available to help users identify
underlying issues. Finally, we show the usefulness
of this approach by analysing two publicly available
datasets and discussing the different quality issues
that can be detected using mirnaQC. | es_ES |
dc.description.sponsorship | European Union (EU)
765492 | es_ES |
dc.description.sponsorship | Spanish Government
AGL2017-88702-C2-2-R | es_ES |
dc.description.sponsorship | Junta de Andalucia | es_ES |
dc.description.sponsorship | European Union (EU)
SOMM17-6109
UCE-PP2017-3 | es_ES |
dc.description.sponsorship | Instituto de Salud Carlos III, ERDF funds
PIE16/00045 | es_ES |
dc.description.sponsorship | Instituto de Salud Carlos III
IFI16/00041 | es_ES |
dc.description.sponsorship | Chair 'Doctors Galera-Requena in cancer stem cell research' | es_ES |
dc.description.sponsorship | Excellence Research Unit "Modelling Nature" (MNat)
SOMM17-6109 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Oxford University Press | es_ES |
dc.rights | Atribución 3.0 España | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.title | mirnaQC: a webserver for comparative quality control of miRNA-seq data | es_ES |
dc.type | journal article | es_ES |
dc.rights.accessRights | open access | es_ES |
dc.identifier.doi | 10.1093/nar/gkaa452 | |
dc.type.hasVersion | VoR | es_ES |