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Stavka #:
86967239
Bioinformatics with Python Cookbook: Use modern Python libraries and applications to solve real-world computational biology problems, 3rd Edition
78% of respondents would recommend this to a friend
Stavka #:
86967239
€ 70
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This book will show you how to manage bioinformatics tasks using Python and perform complex biological data analysis.
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What Stands Out
Practical Python Skills
Equips readers with hands-on Python techniques tailored for bioinformatics, enabling them to tackle real-world biological data challenges effectively.
Comprehensive Cookbook
Offers a wide array of recipes and solutions for various computational biology problems, making it an essential reference for both beginners and experts in the field.
Updated Third Edition
Includes the latest advancements in Python libraries and bioinformatics applications, ensuring users are equipped with current tools and methodologies needed for success.
Detalji o proizvodu
| Publisher | Packt Publishing |
| Publication date | September 27, 2022 |
| Edition | 3rd ed. |
| Language | English |
| Print length | 360 pages |
| ISBN-10 | 1803236426 |
| ISBN-13 | 978-1803236421 |
| Item Weight | 1.36 pounds (620 grams) |
| Dimensions | 7.5 x 0.82 x 9.25 inches (19.1 x 2.1 x 23.5 cm) |
Who Should Buy?
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Bioinformatics Students
Ideal for students studying bioinformatics, providing practical exercises and modern Python techniques for real-world scenarios.
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Data Scientists
Beneficial for data scientists seeking to utilize Python for computational biology and bioinformatics applications effectively.
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Researchers
Useful for researchers looking to enhance their skills in using Python for data analysis in biological contexts.
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Complete Beginners
Not suitable for absolute beginners in programming, as it requires prior Python knowledge and experience.
OPIS PROIZVODA
Bioinformatics with Python Cookbook: Use modern Python libraries and applications to solve real-world computational biology problems, 3rd Edition
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Data Processing Editorial Review
**** The "Bioinformatics with Python Cookbook - Third Edition" has garnered a mixed reception from the bioinformatics community. While many reviewers praise the book for its comprehensive coverage and practical approach to solving real-world computational biology problems, there are notable concerns regarding the quality of its code and clarity of explanations. On one hand, the book is lauded for its structured format, where recipes build on one another, providing a cohesive learning experience. Reviewers have highlighted the in-depth treatment of essential topics in bioinformatics, including data processing with modern tools like Dask and Zarr, and advanced concepts such as accessing the Galaxy platform and using Snakemake for workflow management. The author, Mr. Tiago Antao, is recognized for his expertise and ability to convey complex ideas in an approachable manner, making this resource valuable for both beginners and seasoned professionals looking to refresh or expand their knowledge. However, detractors point out that the book contains outdated code, with some examples not functioning properly due to updates in external APIs since the previous edition. Misprints and unclear explanations have also been mentioned as drawbacks. While many find the practical exercises beneficial, others feel that the clarity and instructional quality of the material could be improved, with some even suggesting that there are superior resources available for learning bioinformatics. Overall, for those beginning in bioinformatics who have at least a basic knowledge of Python, as well as for experienced practitioners seeking updated methods and practices, this book holds potential value, but users may need to supplement it with additional resources for optimal learning. **
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Pros
- Comprehensive coverage of bioinformatics topics, from basic to advanced.
- Structured recipes that build cohesively, aiding in self-study.
- Useful for both beginners and experienced professionals.
- Practical exercises that address real-world bioinformatics problems.
- Provides helpful links to freely available resources.
Protiv
- Some code examples are outdated and do not function correctly.
Product Price History
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Značajke i prednosti
- Perform complex bioinformatics analysis using essential Python libraries.
- Implement next-generation sequencing, metagenomics, and population genetics.
- Explore statistical and machine learning techniques for data analysis.
- Learn to build pipelines with Galaxy and Snakemake for bioinformatics.
- Master data processing libraries like NumPy and pandas in a biological context.
- Gain insights from real-world examples to solve advanced bioinformatics problems.
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