Background: 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. Results: 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. Conclusions: In visualizing epigenomics with traditional genomics data, we see these plugins improving scientific communication and leading to discoveries within the field of epigenomics.
CITATION STYLE
Hofmeister, B. T., & Schmitz, R. J. (2018). Enhanced JBrowse plugins for epigenomics data visualization. BMC Bioinformatics, 19(1). https://doi.org/10.1186/s12859-018-2160-z
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