Revised: Self-Taught Python for Bioinformatics
Learn the fundamentals of Jupyter, NumPy, pandas, Matplotlib, and Scanpy for the era of Generative AI — and master single-cell and RNA-Seq data analysis with your own hands.
Revised: Self-Taught Python for Bioinformatics (Japanese-language Book)
Master the fundamentals of Jupyter, NumPy, pandas, Matplotlib, and Scanpy in the era of Generative AI — and gain hands-on experience in single-cell and RNA-Seq data analysis.
Overview
The definitive Python textbook is back with a much-awaited revision! From general-purpose Python techniques for handling large-scale data and visualizing results,
to mastering the basics of bioinformatics including single-cell and RNA-Seq analysis — this book equips you with practical, hands-on skills.
It comes with sample data and code so you can start applying what you learn right away.
The revised edition includes updates on the use of Generative AI and detailed explanations of Scanpy, along with coverage of the latest library versions.
Table of Contents (Highlights)
- Chapter 1: How to Use This Book and Preparations【Hiroshi Mori】
- Chapter 2: Programming with Generative AI【Koichi Higashi】
- Chapter 3: Using Jupyter Notebook【Yasuhiro Tanizawa】
- Chapter 4: Python Fast-Track Course【Noruo Shinkai】
- Chapter 5: String Handling and Regular Expressions【Hiroki Takahashi】
- Chapter 6: Handling Nucleotide Sequences with Biopython【Yasuhiro Tanizawa】
- Chapter 7: Intro to pandas for Tabular Data【Mika Sakamoto】
- Chapter 8: Handling RNA-Seq Count Data【Mika Sakamoto】
- Chapter 9: Data Visualization with Matplotlib and Seaborn【Jianqiang Sun】
- Chapter 10: Statistical Hypothesis Testing and Model Selection【Hiroshi Mori】
- Chapters 11–13: Single-Cell Analysis (Preprocessing, Dimensionality Reduction, Clustering)【Koichi Higashi】
- Appendix A: Introduction to NumPy【Koichi Higashi】
- Appendix B: Single-Cell Analysis Using Scanpy【Koichi Higashi】
…Plus index, list of contributors, and a full 13-chapter + 2-appendix structure.
For detailed content information or to purchase the book, please visit the publisher’s official website or your preferred online bookstore.
