Genome-Scale Algorithm Design: Bioinformatics in the Era of High-Throughput Sequencing

Veli Mäkinen; Djamal Belazzougui; Fabio Cunial; Alexandru I. Tomescu

doi:10.1017/9781009341257

Genome-Scale Algorithm Design

Bioinformatics in the Era of High-Throughput Sequencing

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2nd edition
Veli Mäkinen, University of Helsinki, Djamal Belazzougui, Centre de Recherche sur l’Information Scientifique et Technique (CERIST), Algiers, Fabio Cunial, Broad Institute, Massachusetts, Alexandru I. Tomescu, University of Helsinki

Publisher:: Cambridge University Press
Online publication date:: September 2023
Print publication year:: 2023
Online ISBN:: 9781009341257
DOI:: https://doi.org/10.1017/9781009341257

Subjects:: Genomics, Bioinformatics and Systems Biology, Life Sciences, Computer Science, Computational Biology and Bioinformatics

54.99 (GBP)

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Presenting the fundamental algorithms and data structures that power bioinformatics workflows, this book covers a range of topics from the foundations of sequence analysis (alignments and hidden Markov models) to classical index structures (k-mer indexes, suffix arrays, and suffix trees), Burrows–Wheeler indexes, graph algorithms, network flows, and a number of advanced omics applications. The chapters feature numerous examples, algorithm visualizations, and exercises, providing graduate students, researchers, and practitioners with a powerful algorithmic toolkit for the applications of high-throughput sequencing. An accompanying website (www.genome-scale.info) offers supporting teaching material. The second edition strengthens the toolkit by covering minimizers and other advanced data structures and their use in emerging pangenomics approaches.

‘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

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Genome-Scale Algorithm Design

Bioinformatics in the Era of High-Throughput Sequencing

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