Computational Methods and Software Tools for Functional Analysis of miRNA Data
Metadata
Show full item recordEditorial
MDPI
Materia
Functional analysis miRNAs ncRNA Databases Enrichment Tools
Date
2020Referencia bibliográfica
Garcia-Moreno, Adrian; Carmona-Saez, Pedro. 2020. "Computational Methods and Software Tools for Functional Analysis of miRNA Data." Biomolecules 10, no. 9: 1252. [doi: 10.3390/biom10091252]
Sponsorship
Junta de Andalucia PI-0173-2017 CV20.36723Abstract
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.