Genome-scale algorithm design: bioinformatics in the era of high-throughput sequencing
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-Wh...
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Format: | E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Cambridge
Cambridge University Press
2023
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Ausgabe: | Second edition. |
Links: | https://doi.org/10.1017/9781009341257 |
Zusammenfassung: | 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. |
Umfang: | 1 Online-Ressource (xxiv, 444 Seiten) |
ISBN: | 9781009341257 |
Internformat
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spelling | Mäkinen, Veli Genome-scale algorithm design bioinformatics in the era of high-throughput sequencing Veli Mäkinen, Djamal Belazzougui, Fabio Cunial, Alexandru I. Tomescu Second edition. Cambridge Cambridge University Press 2023 1 Online-Ressource (xxiv, 444 Seiten) txt c cr 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. Belazzougui, Djamal Cunial, Fabio Tomescu, Alexandru I. Erscheint auch als Druck-Ausgabe 9781009341233 |
spellingShingle | Mäkinen, Veli Genome-scale algorithm design bioinformatics in the era of high-throughput sequencing |
title | Genome-scale algorithm design bioinformatics in the era of high-throughput sequencing |
title_auth | Genome-scale algorithm design bioinformatics in the era of high-throughput sequencing |
title_exact_search | Genome-scale algorithm design bioinformatics in the era of high-throughput sequencing |
title_full | Genome-scale algorithm design bioinformatics in the era of high-throughput sequencing Veli Mäkinen, Djamal Belazzougui, Fabio Cunial, Alexandru I. Tomescu |
title_fullStr | Genome-scale algorithm design bioinformatics in the era of high-throughput sequencing Veli Mäkinen, Djamal Belazzougui, Fabio Cunial, Alexandru I. Tomescu |
title_full_unstemmed | Genome-scale algorithm design bioinformatics in the era of high-throughput sequencing Veli Mäkinen, Djamal Belazzougui, Fabio Cunial, Alexandru I. Tomescu |
title_short | Genome-scale algorithm design |
title_sort | genome scale algorithm design bioinformatics in the era of high throughput sequencing |
title_sub | bioinformatics in the era of high-throughput sequencing |
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