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miRkit: R framework analyzing miRNA PCR array data

miRkit: R framework analyzing miRNA PCR array data

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_565b4ebea6234d3d828ea1c044aa49cc

miRkit: R framework analyzing miRNA PCR array data

About this item

Full title

miRkit: R framework analyzing miRNA PCR array data

Publisher

London: BioMed Central Ltd

Journal title

BMC research notes, 2021-09, Vol.14 (1), p.1-376, Article 376

Language

English

Formats

Publication information

Publisher

London: BioMed Central Ltd

More information

Scope and Contents

Contents

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 ÎÎΤ 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....

Alternative Titles

Full title

miRkit: R framework analyzing miRNA PCR array data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_565b4ebea6234d3d828ea1c044aa49cc

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_565b4ebea6234d3d828ea1c044aa49cc

Other Identifiers

ISSN

1756-0500

E-ISSN

1756-0500

DOI

10.1186/s13104-021-05788-1

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