Title |
Enhanced JBrowse plugins for epigenomics data visualization
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Published in |
BMC Bioinformatics, April 2018
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DOI | 10.1186/s12859-018-2160-z |
Pubmed ID | |
Authors |
Brigitte T. Hofmeister, Robert J. Schmitz |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 7 | 32% |
France | 2 | 9% |
Germany | 1 | 5% |
Spain | 1 | 5% |
Switzerland | 1 | 5% |
Israel | 1 | 5% |
Georgia | 1 | 5% |
Canada | 1 | 5% |
Unknown | 7 | 32% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 55% |
Scientists | 10 | 45% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 33 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 24% |
Student > Master | 7 | 21% |
Researcher | 3 | 9% |
Professor | 3 | 9% |
Other | 2 | 6% |
Other | 4 | 12% |
Unknown | 6 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 11 | 33% |
Agricultural and Biological Sciences | 8 | 24% |
Computer Science | 2 | 6% |
Design | 2 | 6% |
Medicine and Dentistry | 1 | 3% |
Other | 1 | 3% |
Unknown | 8 | 24% |