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Managing Your Biological Data with Python: Chapman & Hall/CRC Mathematical & Computational Biology, cartea 52

Autor Allegra Via, Kristian Rother, Anna Tramontano
en Limba Engleză Paperback – 17 apr 2014
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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Specificații

ISBN-13: 9781439880937
ISBN-10: 143988093X
Pagini: 560
Ilustrații: 33 black & white illustrations, 8 black & white tables
Dimensiuni: 152 x 234 x 33 mm
Greutate: 0.82 kg
Ediția:New.
Editura: CRC Press
Seria Chapman & Hall/CRC Mathematical & Computational Biology


Public țintă

Researchers and advanced undergraduate and graduate students in biology, bioinformatics, biochemistry, and medicine who deal with large biological data sets.

Cuprins

Getting Started: The Python Shell. Your First Python Program. Data Management: Analyzing a Data Column. Parsing Data Records. Searching Data. Filtering Data. Managing Tabular Data. Sorting Data. Pattern Matching and Text Mining. Modular Programming: Divide a Program into Functions. Managing Complexity with Classes. Debugging. Using External Modules: The Python Interface to R. Building Program Pipelines. Writing Good Programs. Data Visualization: Creating Scientific Diagrams. Creating Molecule Images with PyMOL. Manipulating Images. Biopython: Working with Sequence Data. Retrieving Data from Web Resources. Working with 3D Structure Data. Cookbook. Appendices.


Notă biografică

Allegra Via, Kristian Rother, Anna Tramontano