Enhanced JBrowse plugins for epigenomics data visualization
Abstract
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.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 17
- FWCI
- 1.07
- Field percentile
- top 24%
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Track Display Jockey (trackDJ): a user-friendly R package for visualization of epigenomic data
Neha V. Bokil, David C. Page·bioRxiv·Apr 16, 2026
- JBrowse Jupyter: A Python interface to JBrowse 2
Teresa De Jesus Martinez, Elliot A. Hershberg, … Ian H Holmes·BioinformaticsPeer-reviewed·Jan 1, 2023
- JBrowse 2: A modular genome browser with views of synteny and structural variation
Colin M. Diesh, Garrett Stevens, … Ian H Holmes·Genome biologyPeer-reviewed·Apr 17, 2023
- genomeview - an extensible python-based genomics visualization engine
Noah Spies, Justin M. Zook, … Marc Salit·bioRxiv·Jun 26, 2018
- EpiVar Browser: advanced exploration of epigenomics data under controlled access
David R. Lougheed, Hanshi Liu, … Guillaume Bourque·BioinformaticsPeer-reviewed·Mar 1, 2024
- AtlasXplore: a web platform for visualizing and sharing spatial epigenome data
Joshua Barnett, Noori Sotudeh, … Liya Wang·BioinformaticsPeer-reviewed·Jul 20, 2023