Microarray-Based MicroRNA Expression Data Analysis with Bioconductor.
Methods Mol Biol
; 1751: 127-138, 2018.
Article
em En
| MEDLINE
| ID: mdl-29508294
ABSTRACT
MicroRNAs (miRNAs) are small, noncoding RNAs that are able to regulate the expression of targeted mRNAs. Thousands of miRNAs have been identified; however, only a few of them have been functionally annotated. Microarray-based expression analysis represents a cost-effective way to identify candidate miRNAs that correlate with specific biological pathways, and to detect disease-associated molecular signatures. Generally, microarray-based miRNA data analysis contains four major steps:
(1) quality control and normalization, (2) differential expression analysis, (3) target gene prediction, and (4) functional annotation. For each step, a large couple of software tools or packages have been developed. In this chapter, we present a standard analysis pipeline for miRNA microarray data, assembled by packages mainly developed with R and hosted in Bioconductor project.Palavras-chave
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Base de dados:
MEDLINE
Assunto principal:
RNA Mensageiro
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Análise de Sequência de RNA
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Perfilação da Expressão Gênica
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MicroRNAs
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Sequenciamento de Nucleotídeos em Larga Escala
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article