Python for bioinformatics / Sebastian Bassi.

By:

Material type: Text

TextLanguage: English Series: Chapman & Hall/CRC mathematical and computational biologyPublication details: Taylor & Francis Group, Boca Raton, FL : CRC Press, 2018.Edition: Second editionDescription: xxix, 420 pages ; 26 cmISBN:

9781138035263 (pbk. : alk. paper)
9781138094376 (hardback : alk. paper)

Subject(s):

DDC classification:

570.285 23 BAS

Contents:

Section 1. 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 2. Advanced topics. Chapter 10. Web applications Chapter 11. XML Chapter 12. Python and databases Chapter 13. Regular expressions Chapter 14. Graphics in Python Section 3. 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 Section 4. Appendices. Appendix A. Collaborative development version control with GitHub Appendix B. Install a bottle app in PythonAnywhere Appendix C. Scientific Python cheat sheet

Summary: "In today's data driven biology, programming knowledge is essential in turning ideas into testable hypothesis. Based on the author's extensive experience, Python for Bioinformatics, Second Edition helps biologists get to grips with the basics of software development. Requiring no prior knowledge of programming-related concepts, the book focuses on the easy-to-use, yet powerful, Python computer language. This new edition is updated throughout to Python 3 and is designed not just to help scientists master the basics, but to do more in less time and in a reproducible way. New developments added in this edition include NoSQL databases, the Anaconda Python distribution, graphical libraries like Bokeh, and the use of Github for collaborative development."--Provided by publisher

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
General Books	CUTN Central Library Sciences	Non-fiction	570.285 BAS (Browse shelf(Opens below))	Available		48414

Includes bibliographical references and index.

Section 1. 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 2. Advanced topics. Chapter 10. Web applications
Chapter 11. XML
Chapter 12. Python and databases
Chapter 13. Regular expressions
Chapter 14. Graphics in Python
Section 3. 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
Section 4. Appendices. Appendix A. Collaborative development version control with GitHub
Appendix B. Install a bottle app in PythonAnywhere
Appendix C. Scientific Python cheat sheet

"In today's data driven biology, programming knowledge is essential in turning ideas into testable hypothesis. Based on the author's extensive experience, Python for Bioinformatics, Second Edition helps biologists get to grips with the basics of software development. Requiring no prior knowledge of programming-related concepts, the book focuses on the easy-to-use, yet powerful, Python computer language. This new edition is updated throughout to Python 3 and is designed not just to help scientists master the basics, but to do more in less time and in a reproducible way. New developments added in this edition include NoSQL databases, the Anaconda Python distribution, graphical libraries like Bokeh, and the use of Github for collaborative development."--Provided by publisher

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