'This book is very effective in addressing its intended target of graduate students in bioinformatics or computer science with a well-structured but highly accessible description of the fundamental algorithms and data structures that power standard sequence analysis workflows.' Romeo Rizzi, University of Verona
Part I. Preliminaries: 1. Molecular biology and high-throughput sequencing; 2. Algorithm design; 3. Data structures; 4. Graphs; 5. Network flows; Part II. Fundamentals of Biological Sequence Analysis: 6. Alignments; 7. Hidden Markov models; Part III. Genome-Scale Index Structures: 8. Classical indexes; 9. Burrows–Wheeler indexes; Part IV. Genome-Scale Algorithms: 10. Alignment-based genome analysis; 11. Alignment-free genome analysis and comparison; 12. Compression of genome collections; 13. Fragment assembly; Part V. Applications: 14. Haplotype analysis; 15. Pangenomics; 16. Transcriptomics; 17. Metagenomics; References; Index.