Enhanced JBrowse plugins for epigenomics data visualization

BMC Bioinformatics. 2018 Apr 25;19(1):159. doi: 10.1186/s12859-018-2160-z.

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.

Keywords: Epigenomics; Genome browser; Genomics; Visualization.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • DNA / metabolism
  • Databases, Genetic*
  • Epigenomics*
  • Humans
  • Nucleotide Motifs / genetics
  • RNA / metabolism
  • Software*

Substances

  • RNA
  • DNA