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Computational Biologya Practical Introduction To Bio Data Ju

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Engelsk
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 uti...

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Forlagsbeskrivelse af Computational Biologya Practical Introduction To Bio Data Ju af Robbe Wunschiers

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 GitHubThis 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 studiesAll 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.

Detaljer

Forlag
Springer International Publishing AG
ISBN
9783031703133
Sprog
Engelsk
Sider
563
Udgivelsesdato
30-10-2024
Format
Hardback
Varenr.
3252357
EAN nr.
9783031703133
Varegruppe
Engelske textbooks
Bredde (mm)
235
Længde (mm)
155

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  • Matematik og naturvidenskabBiologi og biovidenskabBiovidenskab: generelle emnerBioinformatik
  • Matematik og naturvidenskabBiologi og biovidenskabBiokemi
  • Databehandling og informationsteknologiAnvendt databehandling
  • Matematik og naturvidenskabFysikAnvendt fysikBiofysik
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