Genome-Scale Algorithm Design: Biological Sequence Analysis in the Era of High-Throughput Sequencing

Thu, 07.05.2015

Cambridge University Press has published a new bioinformatics textbook authored by HIIT researchers Veli Mäkinen, Djamal Belazzougui, Fabio Cunial, and Alexandru I. Tomescu.

High-throughput sequencing has revolutionized the field of biological sequence analysis. Its application has enabled researchers to address important biological questions, often for the first time. This book provides an integrated presentation of the fundamental algorithms and data structures that power modern sequence analysis workflows. The topics covered range from the foundations of biological sequence analysis (alignments and hidden Markov models), to classical index structures (k-mer indexes, suffix arrays and suffix trees), Burrows-Wheeler indexes, graph algorithms, and a number of advanced omics applications. The chapters feature numerous examples, algorithm visualizations, exercises and problems, each chosen to reflect the steps of large-scale sequencing projects, including read alignment, variant calling, haplotyping, fragment assembly, alignment-free genome comparison, transcript prediction and analysis of metagenomic samples. Each biological problem is accompanied by precise formulations, providing graduate students and researchers in bioinformatics and computer science with a powerful toolkit for the emerging applications of high-throughput sequencing.

More information about the book is available at


Last updated on 7 May 2015 by Veli Mäkinen - Page created on 7 May 2015 by Veli Mäkinen