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:
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:
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- 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
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
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https://www.yakaboo.ua/ua/computational-biology-a-practical-introduction-to-bio-data-juggling-with-worked-examples.html