背景(考古学)
计算机科学
小RNA
生物
遗传学
古生物学
基因
作者
Yannan Fan,Jianguo Xia
出处
期刊:Methods in molecular biology
日期:2018-01-01
卷期号:: 215-233
被引量:206
标识
DOI:10.1007/978-1-4939-8618-7_10
摘要
To gain functional insights into microRNAs (miRNAs), researchers usually look for pathways or biological processes that are overrepresented in their target genes. The interpretation is often complicated by the fact that a single miRNA can target many genes and multiple miRNAs can regulate a single gene. Here we introduce miRNet ( www.mirnet.ca ), an easy-to-use web-based tool designed for creation, customization, visual exploration and functional interpretation of miRNA-target interaction networks. By integrating multiple high-quality miRNA-target data sources and advanced statistical methods into a powerful network visualization system, miRNet allows researchers to easily navigate the complex landscape of miRNA-target interactions to obtain deep biological insights. This tutorial provides a step-by-step protocol on how to use miRNet to create miRNA-target networks for visual exploration and functional analysis from different types of data inputs.
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