Computational Biology A Practical Introduction to Bio Data Juggling with Worked Examples /
This extensively expanded third edition offers a practical introduction to Bio Data Science. With a hands-on approach to learning, this book offers ample opportunities to practice: - Installing and utilizing Linux as a virtual machine or remotely - Processing bio data with the programming language A...
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| Главный автор: | |
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| Соавтор: | |
| Формат: | Электронный ресурс eКнига |
| Язык: | английский |
| Опубликовано: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Редактирование: | 3rd ed. 2025. |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1007/978-3-031-70314-0 |
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Оглавление:
- Part I: Whetting Your Appetite
- Chapter 1: Introduction
- Chapter 2: Content of this Book
- Part II: Learning and Setting Up Our Playground
- Chapter 3: The World of Linux
- Part III: Working with Linux
- Chapter 4: The First Touch
- Chapter 5: Working with Files
- Chapter 6: Remote Connections
- Chapter 7: Playing with Text and Data Files
- Chapter 8: Get More Out of the Shell
- Chapter 9: Installing BLAST+ and ClustalW
- Part IV: Processing and Programming
- Chapter 10: Shell Programming
- Chapter 11: Regular Expressions
- Chapter 12: Sed
- Chapter 13: AWK
- Chapter 14: Other Programming Languages
- Part V: Advanced Data Analysis
- Chapter 15: GitHub Repositories and Jupyter Notebooks
- Chapter 16: Relational Databases with MariaDB
- Chapter 17: The Statistics Suite R
- Part VI: Worked Examples
- Chapter 18: BLASTing Forensic PCR Primers
- Chapter 19: In Search of Differences in Proteomes
- Chapter 20: Virtual Sequencing of mtDNA
- Chapter 21: DNA Sequence Analysis of MinION Nanopore Reads
- Chapter 22: Querying for Potential Redox-Regulated Enzymes
- Chapter 23: Exploring of Early SARS-CoV2 Mutations. Chapter 24: Genome-Wide Association Studies (GWAS).