{"product_id":"computational-biology-a-practical-introduction-to-bio-data-juggling-with-worked-examples-hardcover","title":"Computational Biology: A Practical Introduction to Bio Data Juggling with Worked Examples - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eR?bbe W?nschiers\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis 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: \u003c\/p\u003e \u003cp\u003e- Installing and utilizing Linux as a virtual machine or remotely\u003cbr\u003e - Processing bio data with the programming language AWK\u003cbr\u003e - Managing data with the relational database system MariaDB\u003cbr\u003e - Analyzing and visualizing data with R\u003cbr\u003e - Implementing good bioinformatics practices with Jupyter Notebook and GitHub\u003c\/p\u003e \u003cp\u003eThis 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. \u003c\/p\u003e \u003cp\u003eWorked 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: \u003c\/p\u003e \u003cp\u003e- Identifying bacterial proteins potentially associated with pathogenicity\u003cbr\u003e - Querying molecular structures for redox-regulated enzymes\u003cbr\u003e - Mapping and assembling real or simulated sequence reads\u003cbr\u003e - Identifying and mapping molecular structure mutations in viruses\u003cbr\u003e - Conducting genome-wide association studies\u003c\/p\u003e \u003cp\u003eAll 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.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis 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: \u003c\/p\u003e \u003cp\u003e- Installing and utilizing Linux as a virtual machine or remotely\u003cbr\u003e - Processing bio data with the programming language AWK\u003cbr\u003e - Managing data with the relational database system MariaDB\u003cbr\u003e - Analyzing and visualizing data with R\u003cbr\u003e - Implementing good bioinformatics practices with Jupyter Notebook and GitHub\u003c\/p\u003e \u003cp\u003eThis 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. \u003c\/p\u003e \u003cp\u003eWorked 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: \u003c\/p\u003e \u003cp\u003e- Identifying bacterial proteins potentially associated with pathogenicity\u003cbr\u003e - Querying molecular structures for redox-regulated enzymes\u003cbr\u003e - Mapping and assembling real or simulated sequence reads\u003cbr\u003e - Identifying and mapping molecular structure mutations in viruses\u003cbr\u003e - Conducting genome-wide association studies\u003c\/p\u003e \u003cp\u003eAll 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.\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eR?bbe W?nschiers \u003c\/strong\u003eis 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.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 513\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.19 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e February 19, 2025\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47381702574329,"sku":"9783031703133","price":161.98,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/I8B_PO8Vr49783031703133.webp?v=1770087625","url":"https:\/\/bookscloud.io\/products\/computational-biology-a-practical-introduction-to-bio-data-juggling-with-worked-examples-hardcover","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}