BMC Bioinformatics (Apr 2018)

Enhanced JBrowse plugins for epigenomics data visualization

  • Brigitte T. Hofmeister,
  • Robert J. Schmitz

DOI
https://doi.org/10.1186/s12859-018-2160-z
Journal volume & issue
Vol. 19, no. 1
pp. 1 – 6

Abstract

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Abstract 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.

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