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GenVisR: Genomic Visualizations in R.

Zachary L Skidmore1, Alex H Wagner1, Robert Lesurf1

  • 1McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA.

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Summary
This summary is machine-generated.

GenVisR is a new R package that simplifies genomic data visualization for cohort-level analyses. It offers customizable, publication-quality graphics by integrating with ggplot2 and Bioconductor tools.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Genomic data analysis and visualization present significant challenges.
  • Summarizing complex cohort-level genomic data requires effective tools.

Purpose of the Study:

  • Introduce GenVisR, an R package designed for genomic data visualization.
  • Provide a flexible and user-friendly tool for publication-quality graphics in cohort genome analyses.

Main Methods:

  • Developed an R package named GenVisR.
  • Leveraged the capabilities of ggplot2 and Bioconductor for enhanced functionality.
  • Focused on creating customizable graphics for cohort-level genome analyses.

Main Results:

  • GenVisR offers a suite of rapid and easy-to-use genomic visualization tools.
  • The package provides highly customizable, publication-quality graphics.
  • Integration with existing R/Bioconductor frameworks ensures flexibility.

Conclusions:

  • GenVisR effectively addresses the challenge of visualizing and summarizing cohort-level genomic data.
  • The package facilitates the creation of high-quality, reproducible graphics for research publications.
  • GenVisR enhances the utility of R and Bioconductor for genomic research.