Welcome to the website of the book “Genome-Scale Algorithm Design”.
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 current 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.
- Graduate students in computer science with a strong interest in molecular biology. The book presents all the required biological concepts in a minimalistic, combinatorial way, omitting the description of most biochemical processes and focusing on inputs and outputs, abstracted as mathematical objects.
- Graduate students in bioinformatics.
- Bioinformatics practitioners willing to master the algorithmic foundations of the field.
- Features many examples, algorithm visualizations, problems, and end-of-chapter exercises.
- Describes just the minimum setup of data structures necessary to understand more advanced concepts, so that students are not burdened with technical results and can focus on more conceptual algorithm design questions.
- Highlights in dedicated frames a number of techniques, and of mathematical and statistical derivations, that can be of immediate use for bioinformatics practitioners.
The book is available in several online bookstores, such as:
- Cambridge University Press
- Amazon.com, Amazon.co.uk
- The Book Depository
- An electronic version is available at eBooks.com
Veli Mäkinen is a Professor of Computer Science at the University of Helsinki, Finland, where he heads a research group working on genome-scale algorithms as part of the Finnish Center of Excellence in Cancer Genetics Research. He has taught advanced courses on string processing, data compression, biological sequence analysis, along with introductory courses on bioinformatics.
Djamal Belazzougui is a postdoctoral researcher at the University of Helsinki. His research topics include hashing, succinct and compressed data structures and string algorithms.
Fabio Cunial is a postdoctoral researcher at the University of Helsinki. His research focuses on string algorithms and genome analysis.
Alexandru I. Tomescu is a postdoctoral researcher at the University of Helsinki. His current research interests lie at the intersection of computational biology and computer science.
“Not just a collection of chapters, but a well-thought-out, integrated book that fills a gap in the recent literature of textbooks in algorithmic bioinformatics. It offers a sound, clear, rich overview of computer science methods for the challenges of today's biological sequence analysis. I advise it to students as well as to researchers in the field.”
“This book will be a new reference text for string data structures and algorithms, and their applications in computational molecular biology and genome analysis. The technically precise style, illustrated with a great collection of well designed examples and many exercises, makes it an ideal resource for researchers, students and teachers.”
“The book is really great and I could envision using it in courses in bioinformatics and data compression. Its scope, clarity, and mathematically precise, compelling explanations make the advanced topics in genome-scale bioinformatics accessible to a wide audience.”
“A timely, rigorous, comprehensive systematization of the concepts and tools at the core of post-genome bioinformatics. By choosing to incorporate the principles of algorithms design most pertinent to the topic, the authors have created a rare, self-contained reference that will smoothly introduce the neophyte and assist the seasoned researcher, as well as anybody who needs to understand these issues at a fundamental level. The organization of the material, the clarity of exposition and rigor of treatment make this an ideal textbook for courses directed at a mixed audience coming from diverse, even distant backgrounds.”
“A very timely textbook covering many recently established techniques and applications at a level of rigor befitting a computer science audience.”