Visualizing Biological Data with ggplot2

1. Auflage 2026
ISBN: 978-1-032-87658-0
Verlag: Taylor & Francis Ltd

Buch, Englisch, 248 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 453 g

Reihe: Chapman & Hall/CRC Computational Biology Series

We are currently living in an era where technology is constantly advancing, which leads to the generation of large volumes and many types of data. Consequently, the ability to transform complex data into clear and attractive visualizations has become essential. Visualizing Biological Data with ggplot2 encourages readers to explore the power of visualization in biology, combining science and art to communicate findings clearly.

The first part of the book begins with a general overview of data visualization and then guides readers through the use of the R language, especially its visualization package called ggplot2. In the second part, the author introduces the creation of different visualizations, from basic graphs and tables to more complex representations such as phylogenetic trees, heat maps, and geographic maps, among others. Subsequently, in the third section, tips and strategies for optimizing the design of your graphs are presented. Finally, the author addresses the creation of interactive visualizations and explains the various options available for exporting and sharing your visualizations.

Features:

- Introduction to data visualization

- Explains the basics of R and its suite of packages called tidyverse

- Tutorial on ggplot2 to create a wide range of graph types

- Advice on when to avoid certain types of visualization which can lead to errors or confusion in the interpretation of results

- Strategies for customizing charts, ready for publication

- Numerous examples based on real biological data, which facilitate the practical application of the concepts learned

With a wide variety of biological examples and practical exercises, allowing readers to consolidate knowledge throughout this book, Visualizing Biological Data with ggplot2 is perfect for experienced students and researchers, while also serving as a graphic guide for anyone wishing to transform their data into visualizations.

Zielgruppe

Academic, Postgraduate, Professional Practice & Development, and Undergraduate Advanced

Autoren/Hrsg.

G. Vilchez, William

Fachgebiete

• Naturwissenschaften Biowissenschaften Molekularbiologie
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung
• Naturwissenschaften Biowissenschaften Biowissenschaften Genetik und Genomik (nichtmedizinisch)

Inhaltsverzeichnis

Section I: Foundations

Chapter 1: The Science and Art of Data Visualization

Chapter 2: Introduction: Let's Talk about R and RStudio

Chapter 3: The Tidyverse

Section II: Let's Visualize Our Data

Chapter 4: Plots with a continuous X variable

Chapter 5: Plots with two or more continuous variables

Chapter 6: Plots with two variables X - Y: discrete X and continuous Y

Chapter 7: Other plots and tables

Section III: Tips and Strategies for Figure Design

Chapter 8: Labels

Chapter 9: Use of color palette

Chapter 10: Graphics to avoid

Chapter 11: Split-panel figures

Chapter 12: Additional changes to the design of your plot

Section IV: Additional Topics

Chapter 13: Interactive plots

Chapter 14: Export your plots

Appendix A: Exploring more about R

Appendix B: Markdown Tables

Appendix C: Tools for Scientific Illustrations

Über Autor(innen)

William G. Vilchez holds a bachelor’s degree in biology from the Universidad Nacional Pedro Ruiz Gallo (Peru) and is currently pursuing a master’s degree in Cellular and Molecular Biology at the University of São Paulo (USP) in Brazil. His main motivation is to use data visualization as a tool to convey information clearly, accurately, and accessibly. Currently, he supports and encourages undergraduate students to use R for data analysis and visualization.