@misc{10481/63840,
year = {2020},
month = {6},
url = {http://hdl.handle.net/10481/63840},
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.},
organization = {European Union (EU)
	
765492},
organization = {Spanish Government
	
AGL2017-88702-C2-2-R},
organization = {Junta de Andalucia},
organization = {European Union (EU)
	
SOMM17-6109
UCE-PP2017-3},
organization = {Instituto de Salud Carlos III, ERDF funds 	
PIE16/00045},
organization = {Instituto de Salud Carlos III
	
IFI16/00041},
organization = {Chair 'Doctors Galera-Requena in cancer stem cell research'},
organization = {Excellence Research Unit "Modelling Nature" (MNat) 	
SOMM17-6109},
publisher = {Oxford University Press},
title = {mirnaQC: a webserver for comparative quality control of miRNA-seq data},
doi = {10.1093/nar/gkaa452},
author = {Aparicio Puerta, Ernesto and Gómez Martín, Cristina and Giannoukakos, Stavros Panagiotis and Medina Muñoz, José María},
}