Algorithms for Next-Generation Sequencing Data - Techniques, Approaches, and Applications (Hardcover, 1st ed. 2017)


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.

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Product Description

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.

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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Release date

October 2017

Availability

Expected to ship within 12 - 17 working days

First published

2017

Editors

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

355

Edition

1st ed. 2017

ISBN-13

978-3-319-59824-6

Barcode

9783319598246

Categories

LSN

3-319-59824-4



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