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eBook - PDF
Managing Your Biological Data with Python
Allegra Via, Kristian Rother, Anna Tramontano
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- 560 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Managing Your Biological Data with Python
Allegra Via, Kristian Rother, Anna Tramontano
Book details
Table of contents
Citations
About This Book
Take Control of Your Data and Use Python with ConfidenceRequiring 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
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Table of contents
- Front Cover
- Table of Contents
- Preface
- Acknowledgements
- Chapter 1: The Python Shell
- Chapter 2: Your First Python Program
- Chapter 3: Analyzing a Data Column
- Chapter 4: Parsing Data Records
- Chapter 5: Searching Data
- Chapter 6: Filtering Data
- Chapter 7: Managing Tabular Data
- Chapter 8: Sorting Data
- Chapter 9: Pattern Matching and Text Mining
- Chapter 10: Divide a Program into Functions
- Chapter 11: Managing Complexity with Classes
- Chapter 12: Debugging
- Chapter 13: Using External Modules: The Python Interface to R
- Chapter 14: Building Program Pipelines
- Chapter 15: Writing Good Programs
- Chapter 16: Creating Scientific Diagrams
- Chapter 17: Creating Molecule Images with PyMOL
- Chapter 18: Manipulating Images
- Chapter 19: Working with Sequence Data
- Chapter 20: Retrieving Data from Web Resources
- Chapter 21: Working with 3D Structure Data
- Recipe 1: The PyCogent Library
- Recipe 2: Reversing and Randomizing a Sequence
- Recipe 3: Creating a Random Sequence with Probabilities
- Recipe 4: Parsing Multiple Sequence Alignments Using Biopython
- Recipe 5: Calculating a Consensus Sequence from a Multiple Sequence Alignment
- Recipe 6: Calculating the Distance between Phylogenetic Tree Nodes
- Recipe 7: Codon Frequencies in a Nucleotide Sequence
- Recipe 8: Parsing RNA 2D Structures in the Vienna Format
- Recipe 9: Parsing BLAST XML Output
- Recipe 10: Parsing SBML Files
- Recipe 11: Running BLAST
- Recipe 12: Accessing, Downloading, and Reading Web Pages
- Recipe 13: Parsing HTML Files
- Recipe 14: Splitting a PDB File into PDB Chain Files
- Recipe 15: Finding the Two Closest Cα Atoms in a PDB Structure
- Recipe 16: Extracting the Interface between Two PDB Chains
- Recipe 17: Building Homology Models Using Modeller
- Recipe 18: RNA 3D Homology Modeling with ModeRNA
- Recipe 19: Calculating RNA Base Pairs from a 3D Structure
- Recipe 20: A Real Case of Structural Superimposition: The Serine Protease Catalytic Triad
- Appendix A: Command Overview
- Appendix B: Python Resources
- Appendix C: Record Samples
- Appendix D: Handling Directories and Programs with UNIX
- Back Cover