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  3. Genome-Scale Algorithm Design
  • Cited by 8
      • 2nd edition
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    • Publisher:
      Cambridge University Press
      Publication date:
      September 2023
      October 2023
      ISBN:
      9781009341257
      9781009341233
      DOI:
      https://doi.org/10.1017/9781009341257
      Dimensions:
      (244 x 170 mm)
      Weight & Pages:
      0.98kg, 470 Pages
      Dimensions:
      Weight & Pages:
      • Subjects:
      Genomics, Bioinformatics and Systems Biology, Life Sciences, Computer Science, Computational Biology and Bioinformatics
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    Subjects:
    Genomics, Bioinformatics and Systems Biology, Life Sciences, Computer Science, Computational Biology and Bioinformatics
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    Book description

    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.

    Reviews

    ‘This book is very effective in addressing its intended target of graduate students in bioinformatics or computer science with a well-structured but highly accessible description of the fundamental algorithms and data structures that power standard sequence analysis workflows.’

    Romeo Rizzi - University of Verona

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