Algorithms for Next-Generation Sequencing Data: Techniques, Approaches, and Applications
Author:   Mourad Elloumi
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2017
ISBN:  

9783319867106


Pages:   355
Publication Date:   11 August 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Algorithms for Next-Generation Sequencing Data: Techniques, Approaches, and Applications


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Overview

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.

Full Product Details

Author:   Mourad Elloumi
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2017
Weight:   0.569kg
ISBN:  

9783319867106


ISBN 10:   3319867105
Pages:   355
Publication Date:   11 August 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Indexing, Compression and Storage of NGS Data.- Error Correction in NGS Data.- Alignment of NGS Data.- Assembly of NGS Data.

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