☰

Biological Sciences

BIOINFORMATICS ALGORITHMS

R 4,302

or 4 x payments of R1,075.50 with Payflex

Payflex

Availability: Currently in Stock

Delivery: 10-20 working days

BIOINFORMATICS ALGORITHMS
- Bioinformatics
- Algorithms
- Computational Biology
- Genomics
- Data Science
This is the third edition of Bioinformatics Algorithms: an Active Learning Approach, one of the first textbooks to emerge from the revolution in online learning. A light hearted and analogy filled companion to the authors' acclaimed online courses, this book presents students with a dynamic approach to learning bioinformatics. It strikes a unique balance between practical challenges in modern biology and fundamental algorithmic ideas, thus capturing the interest of students of both biology and computer science. Each chapter begins with a biological question, such as "Are There Fragile Regions in the Human Genome?" or "Which DNA Patterns Play the Role of Molecular Clocks?" and then steadily develops the algorithmic sophistication required to answer this question. Hundreds of exercises are incorporated directly into the text as soon as they are needed; readers can test their knowledge through automated coding challenges on Rosalind, a popular platform for learning bioinformatics through programming.
Country USA
Manufacturer Active Learning Publishers
Binding Hardcover
UnitCount 1
EANs 9780990374633
ReleaseDate 0000-00-00

You might also like...

Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools

Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools

Introduction to Bioinformatics

Introduction to Bioinformatics

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

In the Lake of the Woods

In the Lake of the Woods

Machine Learning: An Applied Mathematics Introduction

Machine Learning: An Applied Mathematics Introduction

The Art of Statistics: How to Learn from Data

The Art of Statistics: How to Learn from Data

Linear Algebra and Learning from Data

Linear Algebra and Learning from Data

Introduction to Bioinformatics

Introduction to Bioinformatics

Advanced Python for Biologists

Advanced Python for Biologists