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31.8 MB
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5C935A465B250F4352C6AAAD968A21F9E354626C
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June 23, 2025, 1:31 p.m.
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(Last updated: June 23, 2025, 1:32 p.m.)
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| ['Wunschiers R. Computational Biology. A Practical Introduction...3ed 2025.pdf'] | 0 bytes |
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31.8 MB
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2025-06-23
| Uploaded by andryold1 | Size 31.8 MB | Health [ 34 /32 ] | Added 2025-06-23 |
NOTE
SOURCE: Wunschiers R. Computational Biology. A Practical Introduction...3ed 2025
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COVER
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MEDIAINFO
Textbook in PDF format 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. Part I Whetting Your Appetite Introduction Content of This Book Part II Learning and Setting Up Our Playground The World of Linux Part III Working with Linux The First Touch Working with Files Remote Connections Playing with Text and Data Files Get More Out of the Shell Installing BLAST+ and ClustalW Part IV Processing and Programming Shell Programming Regular Expressions Stream Editor Sed Data Processing with AWK Other Programming Languages Part V Advanced Data Analysis GitHub Repositories and Jupyter Notebooks Relational Databases with MariaDB The Statistics Suite R Part VI Worked Examples BLASTing Forensic PCR Primers In Search of Differences in Proteomes Virtual Sequencing of mtDNA DNA Sequence Analysis of MinION Nanopore Reads Querying for Potential Redox-Regulated Enzymes Exploring Early SARS-CoV-2 Mutations Genome-Wide Association Studies (GWAS) A Supplementary Information References Index
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