Circulating microRNAs as potential biomarkers of infectious disease

CN Correia, NC Nalpas, KE McLoughlin… - Frontiers in …, 2017 - frontiersin.org
microRNAs (miRNAs) are a class of small non-coding endogenous RNA molecules that
regulate a wide range of biological processes by post-transcriptionally regulating gene …

Essential guidelines for computational method benchmarking

LM Weber, W Saelens, R Cannoodt, C Soneson… - Genome biology, 2019 - Springer
In computational biology and other sciences, researchers are frequently faced with a choice
between several computational methods for performing data analyses. Benchmarking …

SARTools: a DESeq2-and EdgeR-based R pipeline for comprehensive differential analysis of RNA-Seq data

H Varet, L Brillet-Guéguen, JY Coppée, MA Dillies - PloS one, 2016 - journals.plos.org
Background Several R packages exist for the detection of differentially expressed genes
from RNA-Seq data. The analysis process includes three main steps, namely normalization …

NOREVA: normalization and evaluation of MS-based metabolomics data

B Li, J Tang, Q Yang, S Li, X Cui, Y Li… - Nucleic acids …, 2017 - academic.oup.com
Diverse forms of unwanted signal variations in mass spectrometry-based metabolomics data
adversely affect the accuracies of metabolic profiling. A variety of normalization methods …

Measurements methods for the development of MicroRNA-based tests for cancer diagnosis

F Precazzini, S Detassis, AS Imperatori… - International journal of …, 2021 - mdpi.com
Studies investigating microRNAs as potential biomarkers for cancer, immune-related
diseases, or cardiac pathogenic diseases, among others, have exponentially increased in …

[HTML][HTML] The validity of circulating microRNAs in oncology: five years of challenges and contradictions

J Jarry, D Schadendorf, C Greenwood, A Spatz… - Molecular …, 2014 - Elsevier
MicroRNAs (miRNAs) in circulation have received an increasing amount of interest as
potential minimal invasive diagnostic tools in oncology. Several diagnostic, prognostic and …

Optimization of miRNA-seq data preprocessing

S Tam, MS Tsao, JD McPherson - Briefings in bioinformatics, 2015 - academic.oup.com
The past two decades of microRNA (miRNA) research has solidified the role of these small
non-coding RNAs as key regulators of many biological processes and promising biomarkers …

[HTML][HTML] microRNA-guided diagnostics in clinical samples

D Gustafson, K Tyryshkin, N Renwick - Best practice & research Clinical …, 2016 - Elsevier
miRNA-guided diagnostics is a powerful molecular approach for evaluating clinical samples
through miRNA detection and/or visualization. To date, this approach has been successfully …

Identification of tubular injury microRNA biomarkers in urine: comparison of next-generation sequencing and qPCR-based profiling platforms

R Nassirpour, S Mathur, MM Gosink, Y Li, AM Shoieb… - BMC genomics, 2014 - Springer
Background MicroRNAs (miRNAs) are small, non-coding RNAs that regulate protein levels
post-transcriptionally. miRNAs play important regulatory roles in many cellular processes …

QuickMIRSeq: a pipeline for quick and accurate quantification of both known miRNAs and isomiRs by jointly processing multiple samples from microRNA sequencing

S Zhao, W Gordon, S Du, C Zhang, W He, L Xi… - BMC …, 2017 - Springer
Background Genome-wide miRNA expression data can be used to study miRNA
dysregulation comprehensively. Although many open-source tools for microRNA (miRNA) …