Introduction to Bioinformatics
Wishlist
Lesk provides an accessible and thorough introduction to a subject which is becoming a fundamental part of biological science today. The text generates an understanding of the bio…
Book Summary
Arthur Lesk's Introduction to Bioinformatics is a widely used textbook that bridges biology and computational methods. It explains the biological foundations of the field before introducing algorithms for sequence analysis, structure prediction, and genomics. The book is known for its clear explanations and practical examples, making it suitable for students and researchers new to bioinformatics who need a solid conceptual grounding.
This book is not available
Store  |
Condition |
Deals & Coupons | Price |
Est. Shipping |
Total |
Buy |
|---|---|---|---|---|---|---|
| Sorry we could not find any result for “9780198794141” | ||||||
About Introduction to Bioinformatics
Introduction to Bioinformatics by Arthur Lesk provides a comprehensive and accessible entry point into the interdisciplinary field of bioinformatics. The text begins by establishing the biological background—genes, proteins, and genomes—so readers understand the data being analyzed. It then introduces core computational methods, including sequence alignment, database searching, phylogenetic analysis, and protein structure prediction. Lesk emphasizes how these tools answer real biological questions, using examples and illustrations to clarify complex concepts. The book balances breadth and depth, covering both classical algorithms and modern genomic approaches. It is designed for readers with limited computational experience but a basic understanding of biology, and it serves as a foundation for further study or practical work in molecular biology and genomics.
Who should read Introduction to Bioinformatics?
Undergraduate and graduate students in biology, biochemistry, or computer science who need an introduction to bioinformatics will find this book valuable. It suits researchers transitioning into computational biology who want a conceptual overview before tackling specialized literature. Instructors can use it as a course text because it assumes only minimal prior knowledge of programming or statistics. Professionals in related fields, such as genetics or molecular biology, seeking to understand the computational tools behind modern data analysis will also benefit from Lesk's clear explanations.
Pros & Cons
Pros
- ✓ Biological foundations: genes, proteins, and genomes
- ✓ Sequence alignment and database searching
- ✓ Phylogenetic analysis and evolutionary relationships
- ✓ Protein structure prediction and modeling
- ✓ Genomics and applications of bioinformatics
Similar books
Frequently asked questions
Do I need programming experience to understand this book?
No. Lesk introduces computational concepts without assuming prior programming knowledge. The focus is on understanding the ideas behind the algorithms rather than implementing them, making it accessible to biology students.
Is this book suitable for self-study?
Yes. The clear explanations, illustrative examples, and logical progression make it well-suited for independent learning, especially for readers with a basic biology background.
What biological background is assumed?
The book begins with an overview of molecular biology, so only a basic understanding of genes and proteins is helpful. It is designed to bring readers up to speed on the necessary biology.
Does it cover modern topics like next-generation sequencing?
While the core focuses on fundamental algorithms, the book discusses genomic applications and provides a foundation for understanding modern high-throughput methods. Specific coverage may vary by edition.
Is this an introductory text or advanced?
It is an introductory text aimed at newcomers to bioinformatics. It provides a broad conceptual foundation rather than deep mathematical or algorithmic detail, making it ideal for a first course.
At Windsorbooks, we compare prices from trusted sellers so you can buy, rent, or sell textbooks at the best total price — shipping included.
As an Amazon Associate, Windsorbooks.com may earn a small commission on qualifying purchases.