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Updated: Oct 15, 2025

Pattern-based Search of Epigenomic Data Using GeNemo

Pattern-based Search of Epigenomic Data Using GeNemo

Published on: October 8, 2017

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

This summary is machine-generated.

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.

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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.