Algorithms in Bioinformatics: A Practical Introduction

Wing-Kin Sung

Abstract

Algorithms in Bioinformatics: A Practical Introduction is a textbook which introduces algorithmic techniques for solving bioinformatics problems. The book assumes no prior knowledge of biology. This book is suitable for students at advanced undergraduate and graduate levels to learn algorithmic techniques in bioinformatics.

The textbook covers most of the current topics in bioinformatics. For each topic, an in-depth biological motivation is given and the corresponding computation problems are precisely defined. Different methods and the corresponding algorithms are also provided. Furthermore, the book gives detailed examples to illustrate each algorithm. At the end of each chapter, a set of exercises is provided for the students to be familiar with the topics.

Materials

Programming Projects

• Motif finding using ChIP-seq peak data
  • Problem statement
  • Datasets
• Unsigned reversal distance problem
  • Problem statement
  • Datasets
• Alignment problem
  • Problem statement
  • Datasets
• Maximum Agreement Subtree
  • Problem statement
  • Datasets
• Build a phylogenetic tree from a character-based dataset using Neighbor Joining
  • Problem statement
  • Datasets

Contact

If you have any suggestions for improvement or if you identify any errors in the book, please send an email to me at ksung@comp.nus.edu.sg. I thanks in advance for your help to improve the book.

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