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Understanding Bioinformatics
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Understanding Bioinformatics is an invaluable companion for students from their first encounter with the subject through to more advanced studies.
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- Suitable for advanced undergraduates and postgraduates, Understanding Bioinformatics provides a definitive guide to this vibrant and evolving discipline. The book takes a conceptual approach. It guides the reader from first principles through to an understanding of the computational techniques and the key algorithms. Understanding Bioinformatics is an invaluable companion for students from their first encounter with the subject through to more advanced studies. The book is divided into seven parts, with the opening part introducing the basics of nucleic acids, proteins and databases. Subsequent parts are divided into 'Applications' and 'Theory' Chapters, allowing readers to focus their attention effectively. In each section, the Applications Chapter provides a fast and straightforward route to understanding the main concepts and 'getting started'. Each of these is then followed by Theory Chapters which give greater detail and present the underlying mathematics. In Part 2, Sequence Alignments, the Applications Chapter shows the reader how to get started on producing and analyzing sequence alignments, and using sequences for database searching, while the next two chapters look closely at the more advanced techniques and the mathematical algorithms involved. Part 3 covers evolutionary processes and shows how bioinformatics can be used to help build phylogenetic trees. Part 4 looks at the characteristics of whole genomes. In Parts 5 and 6 the focus turns to secondary and tertiary structure – predicting structural conformation and analysing structure-function relationships. The last part surveys methods of analyzing data from a set of genes or proteins of an organism and is rounded off with an overview of systems biology.The writing style of Understanding Bioinformatics is notable for its clarity, while the extensive, full-color artwork has been designed to present the key concepts with simplicity and consistency. Each chapter uses mind-maps and flow diagrams to give an overview of the conceptual links within each topic.
| Publisher | Garland Science |
| Publication date | September 6, 2007 |
| Edition | 1st |
| Language | English |
| Print length | 772 pages |
| ISBN-10 | 0815340249 |
| ISBN-13 | 978-0815340249 |
| Item Weight | 3.5 pounds (1.59 kg) |
| Dimensions | 8.5 x 1 x 10.75 inches (21.6 x 2.5 x 27.3 cm) |
Who Should Buy?
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Students
Ideal for university students studying bioinformatics, providing foundational knowledge in computational biology and data analysis.
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Researchers
Helpful for researchers needing a comprehensive overview of bioinformatics tools and methodologies in their scientific investigations.
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Professionals
Great for professionals entering the biotech field seeking to understand bioinformatics applications in research and development.
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Beginners
Not suitable for absolute beginners due to technical jargon and advanced topics without prior background in biology or computing.
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Microbiology Editorial Review
Understanding Bioinformatics is a comprehensive textbook published by Garland Science that serves as an excellent resource for both novice and experienced bioinformaticians. With a publication date of September 6, 2007, this 772-page book covers a broad range of topics from basic biology to complex theories like hidden Markov models and prediction algorithms. Its well-structured chapters link theoretical concepts to practical applications, making it suitable for students and professionals alike. Reviewers have appreciated the clear presentation and thorough coverage of material, which is beneficial for understanding key bioinformatics themes. The mind-mapping feature before each chapter has been particularly praised for helping readers connect concepts quickly, making this textbook a valuable tool in graduate studies or as a reference at work.
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Pros
- Comprehensive coverage of essential bioinformatics topics
- Clear and concise layout enhances learning
- Mind-maps aid in connecting key concepts
- Suitable for various disciplines and experience levels
- Good as a reference for both theory and practice
Cons
- Reading may feel dense for casual readers
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Features & Benefits
- Suitable for advanced undergraduates and postgraduates
- Provides a conceptual approach
- Guides the reader to computational techniques and key algorithms
- Divided into 'Applications' and 'Theory' Chapters
- Extensive, full-color artwork with mind-maps and flow diagrams
- Clear writing style
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