Röbbe Wünschiers

Computational Biology (eBook, PDF)

A Practical Introduction to Bio Data Juggling with Worked Examples

• Format: PDF

Produktbeschreibung

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 AWK - Managing data with the relational database system MariaDB - Analyzing and visualizing data with R - Implementing good bioinformatics practices with Jupyter Notebook and GitHub

This book targets both students and professionals in the life sciences. While it is aimed at beginners, it also provides valuable tips and tricks for experienced researchers dealing with large datasets.

Worked examples illustrate how to utilize various bioinformatics tools such as BLAST, Clustal, PLINK, IGV, SAMtools, BCFtools, Mason2, Minimap, NCBI Datasets, Velvet, Jmol, and more for:

- Identifying bacterial proteins potentially associated with pathogenicity - Querying molecular structures for redox-regulated enzymes - Mapping and assembling real or simulated sequence reads - Identifying and mapping molecular structure mutations in viruses - Conducting genome-wide association studies

All software tools and datasets mentioned are freely available, and all code is accessible as Jupyter Notebooks on GitHub. Drawing from the author's experiences and knowledge gained from both academia and industry, this book provides a practical and comprehensive approach to bioinformatics.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 513
• Erscheinungstermin: 18. Februar 2025
• Englisch
• ISBN-13: 9783031703140
• Artikelnr.: 73407762

Autorenporträt

Röbbe Wünschiers is a professor of biochemistry and molecular biology at the University of Applied Sciences Mittweida. For over two decades, he has been working with molecular, biological, genetic engineering, and computational methods in both academic and industrial environments. He is the author of textbooks and numerous didactic and popular science articles. This new edition of Computational Biology includes insightful tips and tricks from his extensive teaching experience at various universities and his experience as a bioinformatician at BASF Plant Science.

Inhaltsangabe

Part I Whetting Your Appetite.- 1 Introduction.- 2 Content of this Book.- Part II Computer & Operating Systems.- 3 Unix/Linux.- Part III Working with Linux.- 4 The First Touch.- 5 Working with Files.- 6 Remote Connections.- 7 Playing.- 8 Using the Shell.- 9 Installing BLAST+ and ClustalW.- 10 Shell Programming.- 11 Regular Expressions.- 12 Sed.- Part IV Programming.- 13 AWK.- 14 Perl.- 15 Other Programming Languages.- Part V Advanced Data Analysis.- 16 Relational Databases with MySQL.- 17 The Statistics Suite R.- Part VI Worked Examples.- 18 Genomic Analysis of the Pathogenicity Factors from E. coli Strain O157:H7 and EHEC Strain O104:H4.- 19 Limits of BLAST & Homology Modeling.- 20 Virtual Sequencing of pUC18c.- 21 Querying for Potential Redox-Regulated Enzymes.- Part VII Additional Material.- References.- A Supplementary Information.- Solutions.- Index.