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Item #:
417095
Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools
Item #:
417095
€ 52
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What Stands Out
Open Source Tools
Utilizes accessible, free tools that empower researchers to perform bioinformatics analysis without hefty software costs, enhancing usability and collaboration in academic and professional settings.
Reproducible Research
Teaches methodologies for ensuring research is reproducible, addressing common issues in scientific research reliability, which builds trust and credibility in findings.
Comprehensive Guidance
Provides step-by-step instructions and practical examples, enabling users of all skill levels to efficiently learn bioinformatics, bridging the gap between theory and practical application.
Product Details
| Publisher | O'Reilly Media |
| Publication date | August 18, 2015 |
| Edition | 1st |
| Language | English |
| Print length | 536 pages |
| ISBN-10 | 1449367372 |
| ISBN-13 | 978-1449367374 |
| Item Weight | 2.05 pounds (930 grams) |
| Dimensions | 7 x 1.25 x 9 inches (17.8 x 3.2 x 22.9 cm) |
Who Should Buy?
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Aspiring Bioinformaticians
Ideal for newcomers seeking practical skills in bioinformatics and data handling with open-source tools.
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Researchers in Biology
Perfect for biologists who want to enhance their research reproducibility and data analysis skills using bioinformatics.
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Educators and Instructors
Useful for teaching bioinformatics concepts and methodologies, providing structured guidance for curriculum development.
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Complete Beginners
Not suitable for individuals with no prior programming or data analysis knowledge, as it assumes some familiarity.
Product Description
Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools
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Software Development Editorial Review
Bioinformatics Data Skills is highly recommended for scientists with a background in biology looking to get into data analysis. It is a well-written and easy-to-follow book that introduces all the skills needed to work on state-of-the-art NGS data. The author's experience in interacting with beginners is evident in his step-by-step approach. The book covers a wide range of topics, with a good balance of depth. The chapters on Unix tools and remote machines are directly applicable to real-world work. The book emphasizes reproducible research and provides practical knowledge and good data analysis practices. It may be a bit dense for beginners but serves as a valuable reference.
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Pros
- Readable and concise
- Step-by-step approach
- Covers a wide range of topics
- Applicable to real-world work
- Emphasizes reproducible research
Cons
- Middle third of the book might not be relevant for some readers
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22 October 2026 · via Trustpilot
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22 October 2026 · via Trustpilot
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23 October 2026 · via Trustpilot
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