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Computational Biology

- A Practical Introduction to Bio Data Juggling with Worked Examples
Af: Robbe Wunschiers Engelsk Hardback

Computational Biology

- A Practical Introduction to Bio Data Juggling with Worked Examples
Af: Robbe Wunschiers Engelsk Hardback
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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.
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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.
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Produktdetaljer
Sprog: Engelsk
Sider: 513
ISBN-13: 9783031703133
Indbinding: Hardback
Udgave:
ISBN-10: 3031703138
Kategori: Biofysik
Udg. Dato: 19 feb 2025
Længde: 36mm
Bredde: 163mm
Højde: 242mm
Forlag: Springer International Publishing AG
Oplagsdato: 19 feb 2025
Forfatter(e): Robbe Wunschiers
Forfatter(e) Robbe Wunschiers

Kategori Biofysik

ISBN-13 9783031703133

Sprog Engelsk

Indbinding Hardback

Sider 513

Udgave

Længde 36mm

Bredde 163mm

Højde 242mm

Udg. Dato 19 feb 2025

Oplagsdato 19 feb 2025

Forlag Springer International Publishing AG