TY  - BOOK
AU  -  Bassi, Sebastian
TI  - Python for bioinformatics/ 
SN  - 9781138035263
U1  - 570.285 
PY  - 2018///
CY  -  Boca Raton, FL
PB  -  CRC Press, Taylor & Francis Group
KW  - Bioinformatics
KW  - Computers
KW  -  Programming Languages
KW  - Python
KW  - Computational Biology
N1  - Includes 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
N2  - "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

ER  -