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Practical Computing for Biologists
87% of respondents would recommend this to a friend
COP 355985
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Practical Computing for Biologists will free you from the most frustrating and time-consuming aspects of data processing so you can focus on the pleasures of scientific inquiry.
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Product Details
| Publisher | Sinauer Associates is an imprint of Oxford University Press |
| Publication date | November 5, 2010 |
| Edition | 1st |
| Language | English |
| Print length | 564 pages |
| ISBN-10 | 0878933913 |
| ISBN-13 | 978-0878933914 |
| Item Weight | 1.8 pounds (820 grams) |
| Dimensions | 9.07 x 1.03 x 7.58 inches (23 x 2.6 x 19.3 cm) |
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Practical Computing for Biologists
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Python Editorial Review
Practical Computing for Biologists is a highly recommended book for anyone looking to learn essential tools in bioinformatics and computer programming. It provides a simple and straightforward guide, starting with basic linux and handling text files, and progressing to more advanced topics like programming in Python and using R. The book is praised for its simplicity and easy-to-understand explanations, making it accessible for beginners. Readers note that the Python section is particularly helpful. The book is also described as a great teaching tool, with informative figures and useful appendices. It is recommended by biology graduate students and is applicable to readers from various fields of science. Overall, this book provides a strong foundation in computational methods and helps readers develop essential skills for data collection and analysis.
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Pros
- Simple and straightforward guide
- Easy to understand explanations
- Helpful Python section
- Great teaching tool
Cons
- More focused on biological examples
Product Price History
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COP 355985
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Features & Benefits
- Learn effective use of freely available computing tools.
- Designed specifically for biologists facing large data sets.
- Focuses on practical skills like Python programming and Unix command line.
- Includes 22 chapters organized into six comprehensive parts.
- Applicable to various scientific endeavors beyond molecular bioinformatics.
- A self-guided resource suitable for students and instructors.
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