
Algorithms for Next-Generation Sequencing
Wing-Kin Sung(Author)
CRC Press
1st Edition
Published on 24. May 2017
Book
Hardback
350 pages
978-1-4665-6550-0 (ISBN)
Description
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.
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.
Reviews / Votes
"With every advance in sequencing technology, existing string algorithms are yet again at their limits and need to be developed further. As a result, a book like this one is sorely needed. It lays out the concepts and approaches both for practical data analysis and for developing algorithms powerful enough to deal with the deluge of sequence data."-Martin Vingron, Max Planck Institute for Molecular Genetics "With every advance in sequencing technology, existing string algorithms are yet again at their limits and need to be developed further. As a result, a book like this one is sorely needed. It lays out the concepts and approaches both for practical data analysis and for developing algorithms powerful enough to deal with the deluge of sequence data."
-Martin Vingron, Max Planck Institute for Molecular Genetics
More details
Series
Language
English
Place of publication
Bosa Roca
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Professional and scholarly
Graduate students and researchers in bioinformatics and computational biology; biologists who use next-generation technologies.
Product notice
sewn/stitched
Cloth over boards
Illustrations
198 s/w Abbildungen, 91 s/w Photographien bzw. Rasterbilder, 107 s/w Zeichnungen, 15 s/w Tabellen
15 Tables, black and white; 107 Line drawings, black and white; 91 Halftones, black and white; 198 Illustrations, black and white
Dimensions
Height: 235 mm
Width: 156 mm
Thickness: 22 mm
Weight
568 gr
ISBN-13
978-1-4665-6550-0 (9781466565500)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Wing-Kin Sung
Algorithms for Next-Generation Sequencing
Book
09/2020
1st Edition
Chapman & Hall/CRC
€74.20
Shipment within 15-20 days

Wing-Kin Sung
Algorithms for Next-Generation Sequencing
E-Book
05/2017
1st Edition
Chapman & Hall/CRC
€67.49
Available for download

Wing-Kin Sung
Algorithms for Next-Generation Sequencing
E-Book
05/2017
1st Edition
Chapman & Hall/CRC
€67.49
Available for download
Person
Wing-Kin Sung
Content
Introduction. Reference Alignment. Genome Assembly. Variation Discovery by Mapping to Reference. RNA-seq. ChIP-seq. Meta-Genomic. Other Technologies.