Algorithms for Next-Generation Sequencing

Wing-Kin Sung

Chapman and Hall/CRC
Published May 24, 2017
Textbook - 350 Pages - 198 B/W Illustrations
ISBN 9781466565500 - CAT# K16105
Series: Chapman & Hall/CRC Mathematical and Computational Biology

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  • One of the first books published on this key topic
  • Written by a leading practitioner
  • Focuses on algorithms
  • Covers technologies used in next-generation sequencing
  • Includes a wide range of case studies and applications
  • Solutions manual and figure slides available upon qualifying course adoption


    Advances in sequencing technology have allowed scientists to study the human genome in greater depth and on a larger scale than ever before – as many as hundreds of millions of short reads in the course of a few days. But what are the best ways to deal with this flood of data?

    Algorithms for Next-Generation Sequencing is an invaluable tool for students and researchers in bioinformatics and computational biology, biologists seeking to process and manage the data generated by next-generation sequencing, and as a textbook or a self-study resource. In addition to offering an in-depth description of the algorithms for processing sequencing data, it also presents useful case studies describing the applications of this technology.


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