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Genomic Annotation Resources in R/Bioconductor

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Statistical Genomics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1418))

Abstract

Annotation resources make up a significant proportion of the Bioconductor project (Huber et al., Nat Methods 12:115–121, 2015). And there are also a diverse set of online resources available which are accessed using specific packages. Here we describe the most popular of these resources and give some high level examples on how to use them.

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References

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Acknowledgments

Research reported in this chapter was supported by the National Human Genome Research Institute of the National Institutes of Health under Award Number U41HG004059 and by the National Cancer Institute of the National Institutes of Health under Award Number U24CA180996. We also want to thank the numerous institutions who produced and maintained the data that are used for generating and updating the annotation resources described here.

Author information

Authors and Affiliations

  1. Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA

    Marc R. J. Carlson, Hervé Pagès, Sonali Arora, Valerie Obenchain & Martin Morgan

  2. Seattle Children’s Research Institute, 1900 West 9th Avenue, JMB-618, Seattle, WA, 98101, USA

    Marc R. J. Carlson

Authors
  1. Marc R. J. Carlson
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  2. Hervé Pagès
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  3. Sonali Arora
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  4. Valerie Obenchain
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  5. Martin Morgan
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Corresponding author

Correspondence to Marc R. J. Carlson .

Editor information

Editors and Affiliations

  1. Ohio State University, Biomed Informatics, College of Medicine, Columbus, Ohio, USA

    Ewy Mathé

  2. National Cancer Institute, National Institutes of Health, Columbia, Maryland, USA

    Sean Davis

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© 2016 Springer Science+Business Media New York

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Carlson, M.R.J., Pagès, H., Arora, S., Obenchain, V., Morgan, M. (2016). Genomic Annotation Resources in R/Bioconductor. In: Mathé, E., Davis, S. (eds) Statistical Genomics. Methods in Molecular Biology, vol 1418. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-3578-9_4

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  • DOI: https://doi.org/10.1007/978-1-4939-3578-9_4

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-3576-5

  • Online ISBN: 978-1-4939-3578-9

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