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

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

ISBN 10: 1009341235 / ISBN 13: 9781009341233

Edité par Cambridge University Press, 2023

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Détails bibliographiques

• Titre: Genome-Scale Algorithm Design : Bioinformatics in the Era of High-Throughput Sequencing
• Éditeur: Cambridge University Press
• Date de parution: 2023
• Langue: anglais
• ISBN à 10 chiffres: 1009341235
• ISBN à 13 chiffres: 9781009341233
• Reliure: Couverture rigide
• Édition: 2ème Édition
• État de l'article: As New

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Synopsis

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.

À propos des auteurs

Veli Mäkinen is Professor of Computer Science at the University of Helsinki, where he leads a research team on genome-scale algorithmics. He has taught advanced courses on algorithm design and analysis, string processing, data compression, and algorithmic genome analysis, as well as introductory courses on bioinformatics.

Djamal Belazzougui is a permanent researcher at the Research Centre for Scientific and Technical Information in Algiers, Algeria. He worked in the Genome-Scale Algorithmics group at the University of Helsinki as a postdoctoral researcher from 2012 to 2015. His research topics include hashing, succinct and compressed data structures, string algorithms, and bioinformatics.

Fabio Cunial is a computational scientist at the Broad Institute of MIT and Harvard. He has served as a postdoctoral researcher at the Genome-Scale Algorithmics group at the University of Helsinki as well as at the Myers lab in Dresden.