miRkit: R framework analyzing miRNA PCR array data.


Journal

BMC research notes
ISSN: 1756-0500
Titre abrégé: BMC Res Notes
Pays: England
ID NLM: 101462768

Informations de publication

Date de publication:
26 Sep 2021
Historique:
received: 19 05 2021
accepted: 15 09 2021
entrez: 27 9 2021
pubmed: 28 9 2021
medline: 29 9 2021
Statut: epublish

Résumé

The characterization of microRNAs (miRNA) in recent years is an important advance in the field of gene regulation. To this end, several approaches for miRNA expression analysis and various bioinformatics tools have been developed over the last few years. It is a common practice to analyze miRNA PCR Array data using the commercially available software, mostly due to its convenience and ease-of-use. In this work we present miRkit, an open source framework written in R, that allows for the comprehensive analysis of RT-PCR data, from the processing of raw data to a functional analysis of the produced results. The main goal of the proposed tool is to provide an assessment of the samples' quality, perform data normalization by endogenous and exogenous miRNAs, and facilitate differential and functional enrichment analysis. The tool offers fast execution times with low memory usage, and is freely available under a ΜΙΤ license from https://bio.tools/mirkit . Overall, miRkit offers the full analysis from the raw RT-PCR data to functional analysis of targeted genes, and specifically designed to support the popular miScript miRNA PCR Array (Qiagen) technology.

Identifiants

pubmed: 34565441
doi: 10.1186/s13104-021-05788-1
pii: 10.1186/s13104-021-05788-1
pmc: PMC8474725
doi:

Substances chimiques

MicroRNAs 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

376

Subventions

Organisme : RESEARCH - CREATE - INNOVATE
ID : T2E1 K-00407
Organisme : Human Resources Development, Education and Lifelong Learning 2014-2020
ID : MIS 5048511
Organisme : general secretariat for research and technology
ID : Hellenic Network for Precision Medicine

Informations de copyright

© 2021. The Author(s).

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Auteurs

Maria Tsagiopoulou (M)

Institute of Applied Biosciences, Centre of Research and Technology Hellas, 57001, Thessaloniki, Greece.

Anastasis Togkousidis (A)

Institute of Applied Biosciences, Centre of Research and Technology Hellas, 57001, Thessaloniki, Greece.

Nikolaos Pechlivanis (N)

Institute of Applied Biosciences, Centre of Research and Technology Hellas, 57001, Thessaloniki, Greece.
Department of Genetics, Development and Molecular Biology, School of Biology, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.

Maria Christina Maniou (MC)

Institute of Applied Biosciences, Centre of Research and Technology Hellas, 57001, Thessaloniki, Greece.

Aristea Batsali (A)

Haemopoiesis Research Laboratory, School of Medicine, University of Crete, 71003, Heraklion, Greece.

Angelos Matheakakis (A)

Haemopoiesis Research Laboratory, School of Medicine, University of Crete, 71003, Heraklion, Greece.
Department of Hematology, School of Medicine, University of Crete, 71003, Heraklion, Greece.

Charalampos Pontikoglou (C)

Haemopoiesis Research Laboratory, School of Medicine, University of Crete, 71003, Heraklion, Greece.
Department of Hematology, School of Medicine, University of Crete, 71003, Heraklion, Greece.

Fotis Psomopoulos (F)

Institute of Applied Biosciences, Centre of Research and Technology Hellas, 57001, Thessaloniki, Greece. fpsom@certh.gr.

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Classifications MeSH