Franklin

Algorithms for Next-Generation Sequencing Data [electronic resource] : Techniques, Approaches, and Applications / edited by Mourad Elloumi.

Edition:
1st ed. 2017.
Publication:
Cham : Springer International Publishing : Imprint: Springer, 2017.
Series:
Computer Science (Springer-11645)
Format/Description:
Book
1 online resource (XIII, 355 pages) : 108 illustrations, 3 illustrations in color.
Subjects:
Bioinformatics.
Biomathematics.
Algorithms.
Local subjects:
Computational Biology/Bioinformatics. (search)
Mathematical and Computational Biology. (search)
Bioinformatics. (search)
Algorithm Analysis and Problem Complexity. (search)
System Details:
text file PDF
Summary:
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.
Contributor:
Elloumi, Mourad, editor., Editor,
SpringerLink (Online service)
Contained In:
Springer eBooks
Other format:
Printed edition:
Printed edition:
Printed edition:
ISBN:
978-3-319-59826-0
9783319598260
Publisher Number:
10.1007/978-3-319-59826-0 doi
Access Restriction:
Restricted for use by site license.
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