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Insect Genomics pp 157–175Cite as

Bioinformatic Analysis of Methylation Patterns Using Bisulfite Sequencing Data

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Part of the book series: Methods in Molecular Biology ((MIMB,volume 1858))

Abstract

Epigenetic factors, including DNA methylation, play a crucial role in the development, behavior, and stress response of insects yet the analysis of DNA methylation patterns remains quite challenging. This chapter will introduce the different technologies for DNA methylation analysis and present a general methodology for the analysis of DNA methylation patterns using the commonly used technology of bisulfite sequencing. The chapter will give a short overview of the sequencing technology itself and will primarily focus on presenting the bioinformatic and statistical analysis methodology of bisulfite sequencing data to study DNA methylation patterns.

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Author information

Authors and Affiliations

  1. Laboratory of Environmental Toxicology and Aquatic Ecology, Environmental Toxicology Unit (GhEnToxLab), Ghent University, Ghent, Belgium

    Jana Asselman

Authors
  1. Jana Asselman
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Correspondence to Jana Asselman .

Editor information

Editors and Affiliations

  1. Division of Biology, Kansas State University, Manhattan, NY, USA

    Susan J. Brown

  2. Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA

    Michael E. Pfrender

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Asselman, J. (2019). Bioinformatic Analysis of Methylation Patterns Using Bisulfite Sequencing Data. In: Brown, S., Pfrender, M. (eds) Insect Genomics. Methods in Molecular Biology, vol 1858. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-8775-7_12

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  • DOI: https://doi.org/10.1007/978-1-4939-8775-7_12

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-8774-0

  • Online ISBN: 978-1-4939-8775-7

  • eBook Packages: Springer Protocols

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