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计算方法和软件工具用于 miRNA 数据的功能分析。

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

机构信息

Bioinformatics Unit, Centre for Genomics and Oncological Research (GENyO)-Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, 18016 Granada, Spain.

Department of Statistics, University of Granada, 18071 Granada, Spain.

出版信息

Biomolecules. 2020 Aug 28;10(9):1252. doi: 10.3390/biom10091252.

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.

摘要

miRNAs 是重要的基因表达调控因子,在许多生物过程中发挥关键作用。高通量技术使研究人员能够发现和鉴定大量的 miRNAs,而富集分析工具在解码哪些 miRNAs 与生物过程相关方面变得越来越重要。miRNA 靶基因的富集分析是功能分析的标准技术,但这种方法存在局限性和偏见;目前正在基于直接和精心注释提出替代方法。在这篇综述中,我们描述了基于靶基因或 miRNA 注释的两种 miRNAs 富集分析工作流程,重点介绍了统计检验、软件工具、最新数据库和后生动物 miRNAs 研究中的功能注释资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6c6/7563698/1dcd2af3a9ea/biomolecules-10-01252-g001.jpg

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