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Introduction to Biological Data Analysis in Python

2023-03-17 Computers
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Release : 2023-03-17
Genre : Computers
Kind : eBook
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Book Synopsis Introduction to Biological Data Analysis in Python by : Stilianos Louca

Download or read book Introduction to Biological Data Analysis in Python written by Stilianos Louca. This book was released on 2023-03-17. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces computational data analysis in biology, using the free and popular programming language python 3. The book targets undergraduate and graduate students in biology with an interest in computational techniques, but could also be of interest to students in other scientific disciplines such as biochemistry, environmental sciences and physics. No prior programming experience is required -- this book is intended for the motivated novice! Readers will learn to load and analyze data and produce professional visualizations. The mathematical content is kept to a bare minimum. Examples and exercises are drawn from a wide spectrum across biology, such as epidemiology, ecology, conservation biology, neuroscience, evolution, genetics, genomics and microbiology. Many exercises use realistic datasets published in the scientific literature, such as bacterial genome sequences, animal GPS tracking data, population time series and biodiversity inventories. References to the scientific literature are provided throughout.

Hands on Data Science for Biologists Using Python

2021-04-08 Computers
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Release : 2021-04-08
Genre : Computers
Kind : eBook
Book Rating : 483/5 ( reviews)

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Book Synopsis Hands on Data Science for Biologists Using Python by : Yasha Hasija

Download or read book Hands on Data Science for Biologists Using Python written by Yasha Hasija. This book was released on 2021-04-08. Available in PDF, EPUB and Kindle. Book excerpt: Hands-on Data Science for Biologists using Python has been conceptualized to address the massive data handling needs of modern-day biologists. With the advent of high throughput technologies and consequent availability of omics data, biological science has become a data-intensive field. This hands-on textbook has been written with the inception of easing data analysis by providing an interactive, problem-based instructional approach in Python programming language. The book starts with an introduction to Python and steadily delves into scrupulous techniques of data handling, preprocessing, and visualization. The book concludes with machine learning algorithms and their applications in biological data science. Each topic has an intuitive explanation of concepts and is accompanied with biological examples. Features of this book: The book contains standard templates for data analysis using Python, suitable for beginners as well as advanced learners. This book shows working implementations of data handling and machine learning algorithms using real-life biological datasets and problems, such as gene expression analysis; disease prediction; image recognition; SNP association with phenotypes and diseases. Considering the importance of visualization for data interpretation, especially in biological systems, there is a dedicated chapter for the ease of data visualization and plotting. Every chapter is designed to be interactive and is accompanied with Jupyter notebook to prompt readers to practice in their local systems. Other avant-garde component of the book is the inclusion of a machine learning project, wherein various machine learning algorithms are applied for the identification of genes associated with age-related disorders. A systematic understanding of data analysis steps has always been an important element for biological research. This book is a readily accessible resource that can be used as a handbook for data analysis, as well as a platter of standard code templates for building models.

Python for Biologists

2013 Computers
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Release : 2013
Genre : Computers
Kind : eBook
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Book Synopsis Python for Biologists by : Martin Jones

Download or read book Python for Biologists written by Martin Jones. This book was released on 2013. Available in PDF, EPUB and Kindle. Book excerpt: Python for biologists is a complete programming course for beginners that will give you the skills you need to tackle common biological and bioinformatics problems.

Managing Your Biological Data with Python

2014-03-18 Computers
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Release : 2014-03-18
Genre : Computers
Kind : eBook
Book Rating : 948/5 ( reviews)

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Book Synopsis Managing Your Biological Data with Python by : Allegra Via

Download or read book Managing Your Biological Data with Python written by Allegra Via. This book was released on 2014-03-18. Available in PDF, EPUB and Kindle. Book excerpt: Take Control of Your Data and Use Python with ConfidenceRequiring no prior programming experience, Managing Your Biological Data with Python empowers biologists and other life scientists to work with biological data on their own using the Python language. The book teaches them not only how to program but also how to manage their data. It shows how

Python Programming for Biology

2015-02-12 Science
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Release : 2015-02-12
Genre : Science
Kind : eBook
Book Rating : 140/5 ( reviews)

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Book Synopsis Python Programming for Biology by : Tim J. Stevens

Download or read book Python Programming for Biology written by Tim J. Stevens. This book was released on 2015-02-12. Available in PDF, EPUB and Kindle. Book excerpt: Do you have a biological question that could be readily answered by computational techniques, but little experience in programming? Do you want to learn more about the core techniques used in computational biology and bioinformatics? Written in an accessible style, this guide provides a foundation for both newcomers to computer programming and those interested in learning more about computational biology. The chapters guide the reader through: a complete beginners' course to programming in Python, with an introduction to computing jargon; descriptions of core bioinformatics methods with working Python examples; scientific computing techniques, including image analysis, statistics and machine learning. This book also functions as a language reference written in straightforward English, covering the most common Python language elements and a glossary of computing and biological terms. This title will teach undergraduates, postgraduates and professionals working in the life sciences how to program with Python, a powerful, flexible and easy-to-use language.

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