Publication: Computational Methods and Software Tools for Functional Analysis of miRNA Data
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Date
2020-08-28
Authors
Garcia-Moreno, Adrian
Carmona-Saez, Pedro
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MDPI
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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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MeSH Terms
Medical Subject Headings::Organisms::Eukaryota::Animals
Medical Subject Headings::Disciplines and Occupations::Natural Science Disciplines::Biological Science Disciplines::Biology::Computational Biology
Medical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Data Interpretation, Statistical
Medical Subject Headings::Information Science::Information Science::Medical Informatics::Medical Informatics Applications::Information Systems::Databases as Topic::Databases, Factual::Databases, Genetic
Medical Subject Headings::Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans
Medical Subject Headings::Chemicals and Drugs::Nucleic Acids, Nucleotides, and Nucleosides::Antisense Elements (Genetics)::RNA, Antisense::MicroRNAs
Medical Subject Headings::Information Science::Information Science::Information Services::Documentation::Molecular Sequence Data::Molecular Sequence Annotation
Medical Subject Headings::Information Science::Information Science::Computing Methodologies::Software
Medical Subject Headings::Disciplines and Occupations::Natural Science Disciplines::Biological Science Disciplines::Biology::Computational Biology
Medical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Data Interpretation, Statistical
Medical Subject Headings::Information Science::Information Science::Medical Informatics::Medical Informatics Applications::Information Systems::Databases as Topic::Databases, Factual::Databases, Genetic
Medical Subject Headings::Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans
Medical Subject Headings::Chemicals and Drugs::Nucleic Acids, Nucleotides, and Nucleosides::Antisense Elements (Genetics)::RNA, Antisense::MicroRNAs
Medical Subject Headings::Information Science::Information Science::Information Services::Documentation::Molecular Sequence Data::Molecular Sequence Annotation
Medical Subject Headings::Information Science::Information Science::Computing Methodologies::Software
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Keywords
Functional analysis, MiRNA, NcRNA, Databases, Enrichment, Tools, MicroARNs, ARN largo no codificante, Bases de datos genéticas, Programas informáticos
Citation
Garcia-Moreno A, Carmona-Saez P. Computational Methods and Software Tools for Functional Analysis of miRNA Data. Biomolecules. 2020 Aug 28;10(9):1252