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Computational Methods and Software Tools for Functional Analysis of miRNA Data.
Garcia-Moreno, Adrian; Carmona-Saez, Pedro.
Afiliação
  • Garcia-Moreno A; Bioinformatics Unit, Centre for Genomics and Oncological Research (GENyO)-Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, 18016 Granada, Spain.
  • Carmona-Saez P; Bioinformatics Unit, Centre for Genomics and Oncological Research (GENyO)-Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, 18016 Granada, Spain.
Biomolecules ; 10(9)2020 08 28.
Article em En | MEDLINE | ID: mdl-32872205
ABSTRACT
miRNAs are important regulators of gene expression that play a key role in many biological processes. High-throughput techniques allow researchers to discover and characterize large sets of miRNAs, and enrichment analysis tools are becoming increasingly important in decoding which miRNAs are implicated in biological processes. Enrichment analysis of miRNA targets is the standard technique for functional analysis, but this approach carries limitations and bias; alternatives are currently being proposed, based on direct and curated annotations. In this review, we describe the two workflows of miRNAs enrichment analysis, based on target gene or miRNA annotations, highlighting statistical tests, software tools, up-to-date databases, and functional annotations resources in the study of metazoan miRNAs.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional / MicroRNAs Limite: Animals / Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional / MicroRNAs Limite: Animals / Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article