miRNet is an easy-to-use, web-based platform designed to help elucidate microRNA (miRNA) functions by integrating users' data with existing knowledge via network-based visual analytics. Since its first release in 2016, miRNet has been accessed by >20 000 researchers worldwide, with ∼100 users on a daily basis. While version 1.0 was focused primarily on miRNA-target gene interactions, it has become clear that in order to obtain a global view of miRNA functions, it is necessary to bring other important players into the context during analysis. Driven by this concept, in miRNet version 2.0, we have (i) added support for transcription factors (TFs) and single nucleotide polymorphisms (SNPs) that affect miRNAs, miRNA-binding sites or target genes, whilst also greatly increased (>5-fold) the underlying knowledgebases of miRNAs, ncRNAs and disease associations; (ii) implemented new functions to allow creation and visual exploration of multipartite networks, with enhanced support for in situ functional analysis and (iii) revamped the web interface, optimized the workflow, and introduced microservices and web application programming interface (API) to sustain high-performance, real-time data analysis. The underlying R package is also released in tandem with version 2.0 to allow more flexible data analysis for R programmers. The miRNet 2.0 website is freely available at https://www.mirnet.ca.

中文翻译：

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miRNet 2.0：用于miRNA功能分析和系统生物学的基于网络的视觉分析。

miRNet是一个易于使用的基于Web的平台，旨在通过基于网络的视觉分析将用户数据与现有知识集成在一起，从而帮助阐明microRNA（miRNA）功能。自2016年首次发布以来，全世界超过2万名研究人员已经访问了miRNet，每天约有100位用户。虽然版本1.0主要关注miRNA与靶标基因的相互作用，但很明显，为了获得miRNA功能的全局视图，有必要在分析过程中将其他重要参与者纳入背景。受此概念的驱使，在miRNet 2.0版中，我们（i）增加了对影响miRNA，miRNA结合位点或靶基因的转录因子（TF）和单核苷酸多态性（SNP）的支持，同时也大大增加了（> 5- fold）miRNA的基础知识库，ncRNA和疾病关联；（ii）实施了新功能，以允许创建和可视化多方网络，并增强了对原位功能分析和（iii）改进了Web界面，优化了工作流程，并引入了微服务和Web应用程序编程接口（API）以维持高性能，实时数据分析。基本的R软件包也随版本2.0一起发布，以允许R程序员进行更灵活的数据分析。可从https://www.mirnet.ca免费获得miRNet 2.0网站。