miRNet 2.0: network-based visual analytics for miRNA functional analysis and systems biology

Clicks: 3
ID: 306041
2020
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Abstract
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.
Reference Key
openalex_W3029717128 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Le Chang, Guangyan Zhou, Othman Soufan, Jianguo Xia
Journal Nucleic Acids Research
Year 2020
DOI
10.1093/nar/gkaa467
URL
https://academic.oup.com/nar/article-pdf/48/W1/W244/33433388/gkaa467.pdf
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