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by: Allegra Via, Kristian Rother, Anna Tramontano

 : Managing Your Biological Data with Python (Chapman & Hall/CRC Mathematical and Computational Biology)

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Binding: Paperback
Brand: Brand: Anshan Ltd
EAN: 9781439880937
Edition: 1
Feature: Used Book in Good Condition
ISBN: 143988093X
Item Dimensions: 925613180129
Label: Chapman and Hall/CRC
Languages: EnglishPublishedEnglishOriginal LanguageEnglishUnknown
Manufacturer: Chapman and Hall/CRC
Number Of Items: 1
Number Of Pages: 560
Publication Date: March 20, 2014
Publisher: Chapman and Hall/CRC
Release Date: April 30, 2014
Studio: Chapman and Hall/CRC

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Product Description:


Take Control of Your Data and Use Python with Confidence







Requiring 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 to read data from files in different formats, analyze and manipulate the data, and write the results to a file or computer screen.







The first part of the text introduces the Python language and teaches readers how to write their first programs. The second part presents the basic elements of the language, enabling readers to write small programs independently. The third part explains how to create bigger programs using techniques to write well-organized, efficient, and error-free code. The fourth part on data visualization shows how to plot data and draw a figure for an article or slide presentation. The fifth part covers the Biopython programming library for reading and writing several biological file formats, querying the NCBI online databases, and retrieving biological records from the web. The last part provides a cookbook of 20 specific programming "recipes," ranging from secondary structure prediction and multiple sequence alignment analyses to superimposing protein three-dimensional structures.







Tailoring the programming topics to the everyday needs of biologists, the book helps them easily analyze data and ultimately make better discoveries. Every piece of code in the text is aimed at solving real biological problems.





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