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SigTools: exploratory visualization for genomic signals
Shohre Masoumi1, Maxwell W Libbrecht1, Kay C Wiese1
1School of Computing Science, Simon Fraser University, Burnaby, British Columbia, Canada.
Bioinformatics (Oxford, England)
|October 31, 2021
Summary
SigTools is a new R package for visualizing genomic signals, aiding in data exploration and interpretation for genomic studies. It offers plots to understand genomic data characteristics and includes a web application for broader accessibility.
Area of Science:
- Genomics
- Bioinformatics
Background:
- Genomic sequencing technologies generate vast datasets, including genomic signals like short-read coverage.
- Understanding genomic signal characteristics is crucial for evaluating genomic study results.
Purpose of the Study:
- To introduce SigTools, an R package for genomic signal visualization.
- To facilitate exploration and interpretation of genomic signals for model development.
- To provide accessible tools for users with varying technical expertise.
Main Methods:
- Developed an R-based package named SigTools.
- Included distribution and autocorrelation plots for genomic signal exploration.
- Incorporated correlation and aggregation plots for genomic signal interpretation.
- Created a companion web application, SigTools-Shiny, for GUI-based access.
Main Results:
- SigTools facilitates genomic signal exploration through various plots.
- SigTools aids in genomic signal interpretation.
- SigTools-Shiny enhances accessibility for users preferring graphical interfaces.
Conclusions:
- SigTools provides essential tools for analyzing genomic signals.
- The package and its web application improve the understanding and utilization of genomic data.
- SigTools is freely available, promoting wider adoption in genomic research.
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