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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Beteilige Person: Mäkinen, Veli
Weitere beteiligte Personen: Belazzougui, Djamal, Cunial, Fabio, Tomescu, Alexandru I.
Format: E-Book
Sprache:Englisch
Veröffentlicht: Cambridge Cambridge University Press 2023
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