Single Molecule and Single Cell Sequencing

Author:   Yutaka Suzuki
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2019
Volume:   1129
ISBN:  

9789811360367


Pages:   150
Publication Date:   19 April 2019
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Single Molecule and Single Cell Sequencing


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Overview

This book presents an overview of the recent technologies in single molecule and single cell sequencing. These sequencing technologies are revolutionizing the way of the genomic studies and the understanding of complex biological systems. The PacBio sequencer has enabled extremely long-read sequencing and the MinION sequencer has made the sequencing possible in developing countries. New developments and technologies are constantly emerging, which will further expand sequencing applications. In parallel, single cell sequencing technologies are rapidly becoming a popular platform. This volume presents not only an updated overview of these technologies, but also of the related developments in bioinformatics. Without powerful bioinformatics software, where rapid progress is taking place, these new technologies will not realize their full potential. All the contributors to this volume have been involved in the development of these technologies and software and have also made significant progress on their applications. This book is intended to be of interest to a wide audience ranging from genome researchers to basic molecular biologists and clinicians. 

Full Product Details

Author:   Yutaka Suzuki
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2019
Volume:   1129
Weight:   0.454kg
ISBN:  

9789811360367


ISBN 10:   9811360367
Pages:   150
Publication Date:   19 April 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Yutaka Suzuki, Department of Computational Biology and Medical Sciences, The University of Tokyo, Japan

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