{"product_id":"computing-skills-for-biologists-a-toolbox-9780691182759","title":"Computing Skills for Biologists: A Toolbox","description":"\u003cp\u003e\u003cb\u003eA concise introduction to key computing skills for biologists\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eWhile biological data continues to grow exponentially in size and quality, many of today's biologists are not trained adequately in the computing skills necessary for leveraging this information deluge. In \u003ci\u003eComputing Skills for Biologists\u003c\/i\u003e, Stefano Allesina and Madlen Wilmes present a valuable toolbox for the effective analysis of biological data. \u003cp\u003e\u003c\/p\u003eBased on the authors' experiences teaching scientific computing at the University of Chicago, this textbook emphasizes the automation of repetitive tasks and the construction of pipelines for data organization, analysis, visualization, and publication. Stressing practice rather than theory, the book's examples and exercises are drawn from actual biological data and solve cogent problems spanning the entire breadth of biological disciplines, including ecology, genetics, microbiology, and molecular biology. Beginners will benefit from the many examples explained step-by-step, while more seasoned researchers will learn how to combine tools to make biological data analysis robust and reproducible. The book uses free software and code that can be run on any platform. \u003cp\u003e\u003c\/p\u003e\u003ci\u003eComputing Skills for Biologists\u003c\/i\u003e is ideal for scientists wanting to improve their technical skills and instructors looking to teach the main computing tools essential for biology research in the twenty-first century.\u003cbr\u003e\u003cul\u003e\n\u003cli\u003eExcellent resource for acquiring comprehensive computing skills\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eBoth novice and experienced scientists will increase efficiency by building automated and reproducible pipelines for biological data analysis\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eCode examples based on published data spanning the breadth of biological disciplines\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eDetailed solutions provided for exercises in each chapter\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eExtensive companion website\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eStefano Allesina\u003c\/b\u003e is a professor in the Department of Ecology and Evolution at the University of Chicago and a deputy editor of \u003ci\u003ePLoS Computational Biology\u003c\/i\u003e. \u003cb\u003eMadlen Wilmes\u003c\/b\u003e is a data scientist and web developer.\u003cbr\u003e","brand":"Princeton University Press","offers":[{"title":"Default Title","offer_id":50924160909586,"sku":"9780691182759","price":62.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_5697eb53-a73a-4e89-8587-4b33d2d462b4.jpg?v=1738970011","url":"https:\/\/surprise-castle.myshopify.com\/products\/computing-skills-for-biologists-a-toolbox-9780691182759","provider":"Surprise Castle","version":"1.0","type":"link"}