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Multiregion Sequence Analysis to Predict Intratumor Heterogeneity and Clonal Evolution

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Deep Sequencing Data Analysis

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2243))

Abstract

Multiregion sequencing can advance our understanding of the intratumor heterogeneity and the clonal evolution. Here, we introduced multiple aspects of multiregion sequencing and its analysis, including the study design and sampling strategy, current understanding of the tumor evolution model, and a protocol for multiregion sequencing analysis of DNA-sequencing data.

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Acknowledgments

This work was partially supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (grant NRF-2015R1D1A1A02061597).

Author information

Authors and Affiliations

  1. Division of Statistics, Medical Research Collaborating Center, Seoul National University Bundang Hospital, Seongnam, Republic of Korea

    Soyeon Ahn

  2. Department of Statistics, University of California, Berkeley, CA, USA

    Haiyan Huang

  3. Center for Computational Biology, University of California, Berkeley, CA, USA

    Haiyan Huang

Authors
  1. Soyeon Ahn
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  2. Haiyan Huang
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Corresponding author

Correspondence to Haiyan Huang .

Editor information

Editors and Affiliations

  1. Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel

    Noam Shomron

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Ahn, S., Huang, H. (2021). Multiregion Sequence Analysis to Predict Intratumor Heterogeneity and Clonal Evolution. In: Shomron, N. (eds) Deep Sequencing Data Analysis. Methods in Molecular Biology, vol 2243. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1103-6_14

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  • DOI: https://doi.org/10.1007/978-1-0716-1103-6_14

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-1102-9

  • Online ISBN: 978-1-0716-1103-6

  • eBook Packages: Springer Protocols

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