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Genome-scale algorithm designbioinformatics in the era of high-throughput sequencing /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Genome-scale algorithm designVeli Mäkinen ... [et al.].
Reminder of title:	bioinformatics in the era of high-throughput sequencing /
other author:	Mäkinen, Veli.
Published:	Cambridge :Cambridge University Press,2023.
Description:	xxiv, 444 p. :ill., digital ;24 cm.
Notes:	Title from publisher's bibliographic system (viewed on 28 Sep 2023).
Subject:	Genomics.
Online resource:	https://doi.org/10.1017/9781009341257
ISBN:	9781009341257

Genome-scale algorithm designbioinformatics in the era of high-throughput sequencing /
Genome-scale algorithm designbioinformatics in the era of high-throughput sequencing /[electronic resource] :Veli Mäkinen ... [et al.]. - Second edition. - Cambridge :Cambridge University Press,2023. - xxiv, 444 p. :ill., digital ;24 cm.

Title from publisher's bibliographic system (viewed on 28 Sep 2023).

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.

ISBN: 9781009341257Subjects--Topical Terms:

209057
Genomics.

LC Class. No.: QH447 / .M3522 2023

Dewey Class. No.: 572.86

Genome-scale algorithm designbioinformatics in the era of high-throughput sequencing /
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300 $a xxiv, 444 p. : $b ill., digital ; $c 24 cm.
500 $a Title from publisher's bibliographic system (viewed on 28 Sep 2023).
520 $a 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.
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