Algorithms for Next-Generation Sequencing Data

Techniques, Approaches, and Applications

Editors: Elloumi, Mourad (Ed.)

  • First consolidated description of techniques and applications
  • Key technology will help to decode life's mysteries, detect pathogens, make better crops, and improve quality of life
  • Valuable for researchers, practitioners and students engaged with bioinformatics, computer science, mathematics, statistics and life sciences
see more benefits

Buy this book

eBook 91,62 €
price for Spain (gross)
  • Due: August 13, 2017
  • ISBN 978-3-319-59826-0
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 114,39 €
price for Spain (gross)
  • Due: August 13, 2017
  • ISBN 978-3-319-59824-6
  • Free shipping for individuals worldwide
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

The 14 contributed chapters in this book survey the most recent developments in high-performance algorithms for NGS data, offering fundamental insights and technical information specifically on indexing, compression and storage; error correction; alignment; and assembly. 

The book will be of value to researchers, practitioners and students engaged with bioinformatics, computer science, mathematics, statistics and life sciences.

Buy this book

eBook 91,62 €
price for Spain (gross)
  • Due: August 13, 2017
  • ISBN 978-3-319-59826-0
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 114,39 €
price for Spain (gross)
  • Due: August 13, 2017
  • ISBN 978-3-319-59824-6
  • Free shipping for individuals worldwide
  • The final prices may differ from the prices shown due to specifics of VAT rules
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Algorithms for Next-Generation Sequencing Data
Book Subtitle
Techniques, Approaches, and Applications
Editors
  • Mourad Elloumi
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-59826-0
DOI
10.1007/978-3-319-59826-0
Hardcover ISBN
978-3-319-59824-6
Edition Number
1
Number of Pages
X, 365
Number of Illustrations and Tables
77 b/w illustrations, 3 illustrations in colour
Topics