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28200043
Python for Bioinformatics (Chapman & Hall/CRC Computational Biology Series)
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Item #:
28200043
JMD 10314
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What Stands Out
Comprehensive Coverage
This edition offers extensive insights into Python applications in bioinformatics, ensuring readers grasp essential programming concepts tailored for biological data analysis.
Practical Examples
Includes real-world examples and step-by-step tutorials that bridge the gap between theory and practice, enhancing the learning experience for both beginners and advanced users.
Updated Resources
Features updated codebases and libraries reflective of the latest in bioinformatics, equipping readers with current tools necessary for effective data manipulation and analysis.
Product Details
| Publisher | Routledge |
| Publication date | July 31, 2017 |
| Edition | 2nd |
| Language | English |
| Print length | 424 pages |
| ISBN-10 | 1138035262 |
| ISBN-13 | 978-1138035263 |
| Item Weight | 1.75 pounds (790 grams) |
| Dimensions | 7 x 1.05 x 10 inches (17.8 x 2.7 x 25.4 cm) |
| Part of series | Chapman & Hall/CRC Computational Biology Series |
Who Should Buy?
-
Bioinformatics Students
Ideal for students in bioinformatics who seek to understand programming concepts for analyzing biological data effectively.
-
Research Scientists
Great for research scientists wanting to leverage Python for bioinformatics research or enhance data analysis capabilities.
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Data Analysts
Suitable for data analysts in life sciences looking to develop skills in Python applications for biological research.
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Complete Beginners
Not suitable for those with no programming experience, as it may be challenging without prior knowledge of Python.
Product Description
Python for Bioinformatics (Chapman & Hall/CRC Computational Biology Series)
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Python Editorial Review
The Python for Bioinformatics book from the Chapman & HallCRC Computational Biology Series provides a comprehensive introduction to the use of Python in the field of bioinformatics. The book covers various bioinformatics algorithms and demonstrates how to implement them using Python. Readers will find clear explanations and examples throughout the book, making it suitable for beginners and advanced users alike. The second edition of the book includes updates and new content, making it a valuable resource for those interested in bioinformatics and programming with Python in this field.
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Pros
- Comprehensive introduction to using Python in bioinformatics
- Clear explanations and examples
- Suitable for beginners and advanced users
- Includes updates and new content in the second edition
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