Institute of Bioinformatics, University of Georgia, Athens, GA, 30602, USA.
Department of Genetics, University of Georgia, Athens, GA, 30602, USA.
BMC Bioinformatics. 2018 Apr 25;19(1):159. doi: 10.1186/s12859-018-2160-z.
New sequencing techniques require new visualization strategies, as is the case for epigenomics data such as DNA base modifications, small non-coding RNAs, and histone modifications.
We present a set of plugins for the genome browser JBrowse that are targeted for epigenomics visualizations. Specifically, we have focused on visualizing DNA base modifications, small non-coding RNAs, stranded read coverage, and sequence motif density. Additionally, we present several plugins for improved user experience such as configurable, high-quality screenshots.
In visualizing epigenomics with traditional genomics data, we see these plugins improving scientific communication and leading to discoveries within the field of epigenomics.
新的测序技术需要新的可视化策略，这适用于表观基因组学数据，如 DNA 碱基修饰、小非编码 RNA 和组蛋白修饰。
我们为基因组浏览器 JBrowse 提供了一组针对表观基因组学可视化的插件。具体来说，我们专注于可视化 DNA 碱基修饰、小非编码 RNA、链读取覆盖度和序列基序密度。此外，我们还提供了几个用于提高用户体验的插件，例如可配置的高质量截图。
在使用传统基因组学数据进行表观基因组学可视化时，我们看到这些插件提高了科学交流，并在表观基因组学领域带来了新的发现。
