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Single Molecule and Single Cell Sequencing

  • Book
  • © 2019

Overview

Editors:
  1. Yutaka Suzuki

    1. Department of Computational Biology and Medical Sciences, University of Tokyo, Chiba, Japan

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  • Provides a comprehensive summary of recent technologies and their applications
  • Describes related developments in bioinformatics
  • Presents step-by-step protocols
  • Offers perspectives for future research

Part of the book series: Advances in Experimental Medicine and Biology (AEMB, volume 1129)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-vi
    Download chapter PDF

  2. Strategies for Converting RNA to Amplifiable cDNA for Single-Cell RNA Sequencing Methods

    • Yohei Sasagawa, Tetsutaro Hayashi, Itoshi Nikaido
    Pages 1-17

  3. Integrated Fluidic Circuits for Single-Cell Omics and Multi-omics Applications

    • Mark Lynch, Naveen Ramalingam
    Pages 19-26

  4. Single-Cell DNA-Seq and RNA-Seq in Cancer Using the C1 System

    • Masahide Seki, Ayako Suzuki, Sarun Sereewattanawoot, Yutaka Suzuki
    Pages 27-50

  5. Nx1-Seq (Well Based Single-Cell Analysis System)

    • Shinichi Hashimoto
    Pages 51-61

  6. Quantitation of mRNA Transcripts and Proteins Using the BD Rhapsody™ Single-Cell Analysis System

    • Eleen Y. Shum, Elisabeth M. Walczak, Christina Chang, H. Christina Fan
    Pages 63-79

  7. An Informative Approach to Single-Cell Sequencing Analysis

    • Yukie Kashima, Ayako Suzuki, Yutaka Suzuki
    Pages 81-96

  8. Bionano Genome Mapping: High-Throughput, Ultra-Long Molecule Genome Analysis System for Precision Genome Assembly and Haploid-Resolved Structural Variation Discovery

    • Sven Bocklandt, Alex Hastie, Han Cao
    Pages 97-118

  9. Informatics for PacBio Long Reads

    • Yuta Suzuki
    Pages 119-129

  10. Challenges of Single-Molecule DNA Sequencing with Solid-State Nanopores

    • Yusuke Goto, Rena Akahori, Itaru Yanagi
    Pages 131-142

  11. On-Site MinION Sequencing

    • Lucky R. Runtuwene, Josef S. B. Tuda, Arthur E. Mongan, Yutaka Suzuki
    Pages 143-150
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Keywords

About this book

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. 

Editors and Affiliations

  • Department of Computational Biology and Medical Sciences, University of Tokyo, Chiba, Japan

    Yutaka Suzuki

About the editor

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

Bibliographic Information

  • Book Title: Single Molecule and Single Cell Sequencing

  • Editors: Yutaka Suzuki

  • Series Title: Advances in Experimental Medicine and Biology

  • DOI: https://doi.org/10.1007/978-981-13-6037-4

  • Publisher: Springer Singapore

  • eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)

  • Copyright Information: Springer Nature Singapore Pte Ltd. 2019

  • Hardcover ISBN: 978-981-13-6036-7Published: 19 April 2019

  • eBook ISBN: 978-981-13-6037-4Published: 09 April 2019

  • Series ISSN: 0065-2598

  • Series E-ISSN: 2214-8019

  • Edition Number: 1

  • Number of Pages: VI, 150

  • Number of Illustrations: 5 b/w illustrations, 51 illustrations in colour

  • Topics: Human Genetics, Bioinformatics

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