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

By: Alexandru I. Tomescu (Author) , Algiers) Belazzougui Djamal (Author) , Fabio Cunial (Author) , Veli Makinen (Author)

2 in stock

Ksh 13,950.00

Format: Hardback or Cased Book

ISBN-10: 1009341235

ISBN-13: 9781009341233

Edition statement: 2 Revised edition

Publisher: Cambridge University Press

Imprint: Cambridge University Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Oct 12th, 2023

Publication Status: Active

Product extent: 487 Pages

Weight: 974.00 grams

Dimensions (height x width x thickness): 17.70 x 25.30 x 3.30 cms

Product Classification / Subject(s): Data mining

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Guided by standard bioscience workflows in high-throughput sequencing analysis, this book for graduate students, researchers, and professionals in bioinformatics and computer science offers a unified presentation of genome-scale algorithms. This new edition covers the use of minimizers and other advanced data structures in pangenomics approaches.
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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