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Managing Your Biological Data with Python

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ISBN-10: 143988093X

ISBN-13: 9781439880937

Edition: 2014

Authors: Allegra Via, Anna Tramontano, Kristian Rother

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Description:

For end-users of bioinformatics databases and tools, this book explains how to independently manage large biological data sets with Python. It covers basic aspects of computer usage as well as the simple programming of Python, showing how to use Python for biological data analysis, web interfacing of databases and scripts, and much more. The text includes many exercises and coding examples, making it ideal for self-study and classroom use. Code is also available on the authors’ website.
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Book details

Copyright year: 2014
Publisher: Taylor & Francis Group
Publication date: 4/30/2014
Binding: Paperback
Pages: 560
Size: 6.00" wide x 9.00" long x 1.25" tall
Weight: 1.804

Anna Tramontano is Professor of Biochemistry at the Medical Faculty of the University of Rome "La Sapienza" since 2001. She received her PhD in Physics from the University of Naples (Italy) in 1980 and held various appointments at research institutes in Europe and in the U.S. before becoming Professor of Bioinformatics at the University of Milan in 1990. From 1996 to 2001 she held the position as director of Computational Biology and Chemistry at the Merck Research Laboratories in Rome. Anna Tramontano is among the organizers of the CASP (critical assessment of protein structure prediction) conferences and is on the editorial boards of several journals.

Diving into Biological Data (or Biology) Using a Computational Approach
Data Retrieval and Handling
Data Analysis and Presentation
Web Dissemination
A Good Starting Place to Become a Developer
Appendices