Python for Bioinformatics (Chapman & Hall/CRC Mathematical and Computational Biology) 1st Edition by Sebastian Bassi – Ebook PDF Instant Download/Delivery: 1584889292, 978-1584889298
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Product details:
ISBN 10: 1584889292
ISBN 13: 978-1584889298
Author: Sebastian Bassi
Python for Bioinformatics (Chapman & Hall/CRC Mathematical and Computational Biology) 1st Edition:
Programming knowledge is often necessary for finding a solution to a biological problem. Based on the author’s experience working for an agricultural biotechnology company, Python for Bioinformatics helps scientists solve their biological problems by helping them understand the basics of programming. Requiring no prior knowledge of programming-related concepts, the book focuses on the easy-to-use, yet powerful, Python computer language.
The book begins with a very basic introduction that teaches the principles of programming. It then introduces the Biopython package, which can be useful in solving life science problems. The next section covers sophisticated tools for bioinformatics, including relational database management systems and XML. The last part illustrates applications with source code, such as sequence manipulation, filtering vector contamination, calculating DNA melting temperature, parsing a genbank file, inferring splicing sites, and more. The appendices provide a wealth of supplementary information, including instructions for installing Python and Biopython and a Python language and style guide.
By incorporating examples in biology as well as code fragments throughout, the author places a special emphasis on practice, encouraging readers to experiment with the code. He shows how to use Python and the Biopython package for building web applications, genomic annotation, data manipulation, and countless other applications.
Python for Bioinformatics (Chapman & Hall/CRC Mathematical and Computational Biology) 1st Edition Table of contents:
Section I
Programming
-
Chapter 1
Introduction -
Chapter 2
First Steps with Python -
Chapter 3
Basic Programming: Data Types -
Chapter 4
Programming: Flow Control -
Chapter 5
Handling Files -
Chapter 6
Code Modularizing -
Chapter 7
Error Handling -
Chapter 8
Introduction to Object-Oriented Programming (OOP) -
Chapter 9
Introduction to Biopython
Section II
Advanced Topics
-
Chapter 10
Web Applications -
Chapter 11
XML -
Chapter 12
Python and Databases -
Chapter 13
Regular Expressions -
Chapter 14
Graphics in Python
Section III
Python Recipes with Commented Source Code
-
Chapter 15
Sequence Manipulation in Batch -
Chapter 16
Web Application for Filtering Vector Contamination -
Chapter 17
Searching for PCR Primers Using Primer3 -
Chapter 18
Calculating Melting Temperature from a Set of Primers -
Chapter 19
Filtering Out Specific Fields from a GenBank File -
Chapter 20
Inferring Splicing Sites -
Chapter 21
Web Server for Multiple Alignment -
Chapter 22
Drawing Marker Positions Using Data Stored in a Database -
Chapter 23
DNA Mutations with Restrictions
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