Single Molecule and Single Cell Sequencing

  • Yutaka Suzuki

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

Table of contents

  1. Front Matter
    Pages i-vi
  2. Yohei Sasagawa, Tetsutaro Hayashi, Itoshi Nikaido
    Pages 1-17
  3. Masahide Seki, Ayako Suzuki, Sarun Sereewattanawoot, Yutaka Suzuki
    Pages 27-50
  4. Shinichi Hashimoto
    Pages 51-61
  5. Eleen Y. Shum, Elisabeth M. Walczak, Christina Chang, H. Christina Fan
    Pages 63-79
  6. Yukie Kashima, Ayako Suzuki, Yutaka Suzuki
    Pages 81-96
  7. Yuta Suzuki
    Pages 119-129
  8. Yusuke Goto, Rena Akahori, Itaru Yanagi
    Pages 131-142
  9. Lucky R. Runtuwene, Josef S. B. Tuda, Arthur E. Mongan, Yutaka Suzuki
    Pages 143-150

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. 


New sequencing technology Genome Transcriptome Epigenome Bioinformatics

Editors and affiliations

  • Yutaka Suzuki
    • 1
  1. 1.Department of Computational Biology and Medical SciencesUniversity of TokyoChibaJapan

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