Dataset Information

Computational Methods and Software Tools for Functional Analysis of miRNA Data.

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.

SUBMITTER: Garcia-Moreno A

PROVIDER: S-EPMC7563698 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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Computational Methods and Software Tools for Functional Analysis of miRNA Data.

Garcia-Moreno Adrian A Carmona-Saez Pedro P

Biomolecules 20200828 9

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 pr ...[more]

PMID: 32872205

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Dataset Information

Computational Methods and Software Tools for Functional Analysis of miRNA Data.

Publications

Computational Methods and Software Tools for Functional Analysis of miRNA Data.

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