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Bioinformatics Programming Using Python: Practical Programming for Biological Data First Edition
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Bioinformatics Programming Using Python is perfect for anyone involved with bioinformatics -- researchers, support staff, students, and software developers interested in writing bioinformatics applications.
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Dettagli del prodotto
| Editor | O'Reilly Media |
| Fecha de publicación | January 19, 2010 |
| Édition | First Edition |
| Language | Inglés |
| Imprimir longitud | 521 pages |
| ISBN-10 | 059615450X |
| ISBN-13 | 978-0596154509 |
| Peso del artículo | 1.55 pounds (700 grams) |
| Dimensiones | 7 x 1 x 9.19 inches (17.8 x 2.5 x 23.3 cm) |
A chi è consigliato?
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Bioinformatics Students
Ideal for students specializing in bioinformatics wanting practical programming skills for biological data analysis.
-
Data Analysts
Benefits data analysts seeking to enhance their Python skills specifically for biological data interpretation and visualization.
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Researchers
Useful for biological researchers needing to process and analyze complex biological datasets using Python.
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Complete Beginners
Not suitable for users with no prior programming experience, as it assumes basic Python knowledge.
DESCRIZIONE DEL PRODOTTO
Bioinformatics Programming Using Python: Practical Programming for Biological Data First Edition
Domande e risposte dei clienti
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Domanda:
What is the focus of 'Bioinformatics Programming Using Python'?
Risposta: The book primarily focuses on teaching bioinformatics programmers how to apply Python for solving biological problems. It provides examples and insights into manipulating biological data, performing sequence analysis, and developing tools to analyze genomic information. This is beneficial for practitioners looking to enhance their programming skills specifically for bioinformatics applications. -
Domanda:
Who is the author of 'Bioinformatics Programming Using Python'?
Risposta: The author of 'Bioinformatics Programming Using Python' is Jason R. Stajich, a well-respected expert in the field of bioinformatics and computational biology. His expertise is reflected in the practical approach the book takes, presenting topics in an accessible manner tailored for researchers and students who aim to bridge the gap between biology and programming. -
Domanda:
What programming knowledge do I need before reading this book?
Risposta: It's advantageous to have a basic understanding of programming concepts, particularly in Python, to fully benefit from 'Bioinformatics Programming Using Python'. Familiarity with data structures, functions, and libraries in Python will help you grasp the examples and exercises more effectively, making it easier to apply these skills in a biological context. -
Domanda:
What can I expect to learn from this book?
Risposta: Readers can expect to learn key bioinformatics techniques, including sequence alignment, data visualization, and algorithm implementations in Python. The book includes practical examples, enabling readers to apply programming concepts directly to real-world biological challenges, which enhances their skills and understanding of computational biology. -
Domanda:
Is this book suitable for beginners in bioinformatics?
Risposta: Yes, 'Bioinformatics Programming Using Python' is suitable for beginners. It assumes no prior knowledge in bioinformatics and gradually introduces concepts alongside programming principles. This makes it a great starting point for newcomers who wish to explore how programming is utilized in biological research and analysis. -
Domanda:
Are there practical examples in the book?
Risposta: Absolutely! The book includes numerous practical examples that illustrate how to solve bioinformatics problems using Python. These real-life scenarios help readers understand the application of theoretical knowledge and encourage hands-on practice, making the learning process more effective and engaging. -
Domanda:
Does the book cover any specific libraries for bioinformatics?
Risposta: Yes, the book discusses popular Python libraries used in bioinformatics, such as Biopython, Pandas, and NumPy. Each library is presented with examples highlighting its functionality in biological data processing and analysis, empowering readers to leverage these tools in their projects and research. -
Domanda:
Can I use this book for self-study?
Risposta: Certainly! 'Bioinformatics Programming Using Python' is structured to facilitate self-study, providing clear explanations, exercises, and assessments at each chapter's end. This format encourages independent learning, helping you to develop skills and confidence in applying Python to bioinformatics tasks at your own pace. -
Domanda:
What level of bioinformatics knowledge does this book assume?
Risposta: The book starts from the ground up and does not assume extensive prior knowledge in bioinformatics. It introduces foundational bioinformatics concepts while concurrently teaching programming in Python. This dual approach ensures readers gain a solid footing in both areas, making it readily accessible for novices and intermediate learners. -
Domanda:
Where can I buy 'Bioinformatics Programming Using Python First Edition' in San Marino?
Risposta: You can purchase 'Bioinformatics Programming Using Python First Edition' at Ubuy, an excellent platform offering a vast selection of books including this title. Ubuy provides convenient access to international shipping, competitive pricing, and promotional deals, ensuring you can get your hands on this essential resource for bioinformatics programming.
Software Development Editorial Review
Bioinformatics Programming Using Python: Practical Programming for Biological Data 1st Edition is a comprehensive textbook that provides great explanations and plenty of examples for beginners. However, some readers have expressed that the book lacks a longer introductory section, making it challenging for those who are completely new to programming. Despite this, the book is highly recommended for its ability to take readers from zero to 100 in no time. On the downside, there are complaints about the amount of non-functioning code in the book, causing frustration for readers trying to work through the examples. Overall, Bioinformatics Programming Using Python has the potential to be a valuable resource, but improvements are needed to address the code issues.
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Vantaggi
- Comprehensive and informative textbook
- Great explanations for beginners
- Plenty of examples for learning
Contro
- Lacks a longer introductory section
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Caratteristiche e benefici
- Powerful, flexible, and easy to use Python for building software tools
- Program with Python using code examples from bioinformatics
- Ideal for those with no programming experience
- Learn Python fundamentals and object-oriented programming techniques
- Discover Python modules for various bioinformatics tasks
- Benefit from the tips and traps section in each chapter
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