Algorithms for Next-Generation Sequencing
Wing-Kin Sung
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.
Categories:
Year:
2017
Edition:
1
Publisher:
CRC Press
Language:
english
Pages:
362
ISBN 10:
1466565500
ISBN 13:
9781466565500
Series:
Chapman & Hall/CRC Mathematical and Computational Biology
File:
PDF, 21.59 MB
IPFS:
,
english, 2017