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DNAism: exploring genomic datasets on the web with Horizon Charts
David Rio Deiros1, Richard A Gibbs2,3, Jeffrey Rogers2,3
1Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, USA. driodeiros@gmail.com.
BMC Bioinformatics
|January 29, 2016
Summary
Horizon Charts offer a powerful new way to visualize large genomic datasets. Our DNAism library adapts this technique, enabling researchers to better explore and gain insights from complex biological data.
Area of Science:
- Genomics
- Bioinformatics
- Data Visualization
Background:
- Computational biologists require efficient methods for exploring massive genomic datasets.
- Advanced visualization techniques are crucial for navigating and interpreting big biological data.
- Horizon Charts offer high data density visualization suitable for complex datasets.
Purpose of the Study:
- To adapt Horizon Charts for effective use with genomic data.
- To introduce a new library, DNAism, for genomic data visualization.
Main Methods:
- Adapted an existing JavaScript library (Cubism) for time series data.
- Modified the library to specifically handle genomic datasets.
Main Results:
- The adapted library, named DNAism, successfully implements Horizon Charts for genomic data.
- Demonstrated the effectiveness of Horizon Charts in visualizing complex genomic information.
Conclusions:
- Horizon Charts are a valuable tool for exploring large and complex genomic datasets.
- The DNAism library empowers researchers to extract deeper insights from their genomic data.
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