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Information and Statistical Analysis Pipeline for High-Throughput RNA Sequencing Data

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Epidermal Cells

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2109))

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Abstract

Applications of RNA sequencing have been wide-spreading in various subfields of life science. Construction of information and statistical analysis pipeline is indispensable to process raw RNA sequencing (RNA-seq) data generated by next-generation sequencers in order to extract biological implications. In this chapter, we introduce a common pipeline for RNA-seq data. A collection of notes on related advanced topics will be useful when conducting information and statistical analysis in practice.

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Acknowledgments

This work is supported by JST PRESTO Grant Number JPMJPR16E9 and the Japan Society for the Promotion of Science (JSPS) Grant-in-Aid (C) JP16K05265 and (S) JP15H05707. The authors are grateful to Ms. Mai Suganami for typesetting references and corrections of typos.

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Authors and Affiliations

  1. Faculty of Advanced Life Science, Hokkaido University, Sapporo, Japan

    Shinji Nakaoka & Keita Matsuyama

Authors
  1. Shinji Nakaoka
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  2. Keita Matsuyama
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Corresponding author

Correspondence to Shinji Nakaoka .

Editor information

Editors and Affiliations

  1. Ottawa, ON, Canada

    Kursad Turksen

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Nakaoka, S., Matsuyama, K. (2019). Information and Statistical Analysis Pipeline for High-Throughput RNA Sequencing Data. In: Turksen, K. (eds) Epidermal Cells. Methods in Molecular Biology, vol 2109. Humana, New York, NY. https://doi.org/10.1007/7651_2019_245

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  • DOI: https://doi.org/10.1007/7651_2019_245

  • Published:

  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-0250-8

  • Online ISBN: 978-1-0716-0251-5

  • eBook Packages: Springer Protocols

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