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06:38
Pattern-based Search of Epigenomic Data Using GeNemo
Published on: October 8, 2017
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Enhanced JBrowse plugins for epigenomics data visualization.
Brigitte T Hofmeister1, Robert J Schmitz2
1Institute of Bioinformatics, University of Georgia, Athens, GA, 30602, USA. bth29393@uga.edu.
BMC Bioinformatics
|April 28, 2018
Summary
New JBrowse plugins enhance epigenomics data visualization, including DNA base modifications and small non-coding RNAs. These tools improve scientific communication and aid discoveries in epigenomics research.
Area of Science:
- Genomics and Bioinformatics
- Molecular Biology
- Computational Biology
Background:
- Advancements in sequencing technologies necessitate novel visualization strategies for complex epigenomics data.
- Epigenomics data encompasses diverse elements like DNA base modifications, small non-coding RNAs, and histone modifications.
Purpose of the Study:
- To develop and present a suite of plugins for the JBrowse genome browser.
- To specifically address the visualization needs for various epigenomics data types.
Main Methods:
- Developed plugins for JBrowse, a popular genome browser.
- Focused on visualizing DNA base modifications, small non-coding RNAs, stranded read coverage, and sequence motif density.
- Incorporated plugins for enhanced user experience, including high-quality, configurable screenshots.
Main Results:
- A set of JBrowse plugins tailored for epigenomics visualization has been created.
- The plugins effectively visualize DNA base modifications, small non-coding RNAs, stranded read coverage, and sequence motif density.
- User experience improvements include configurable, high-quality screenshot capabilities.
Conclusions:
- The developed JBrowse plugins significantly enhance the visualization of epigenomics data.
- These tools are expected to improve scientific communication within the field.
- The enhanced visualization capabilities are anticipated to facilitate new discoveries in epigenomics.
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