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Statistical Genomics pp 39–66Cite as

Study Design for Sequencing Studies

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

Abstract

Once a biochemical method has been devised to sample RNA or DNA of interest, sequencing can be used to identify the sampled molecules with high fidelity and low bias. High-throughput sequencing has therefore become the primary data acquisition method for many genomics studies and is being used more and more to address molecular biology questions. By applying principles of statistical experimental design, sequencing experiments can be made more sensitive to the effects under study as well as more biologically sound, hence more replicable.

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Author information

Authors and Affiliations

  1. Department of Biology, The Pennsylvania State University, USDA ARS, Tree Fruit Res Lab, 1104 N Western Ave, Wenatchee, WA, 98801, USA

    Loren A. Honaas

  2. Department of Statistics and Huck Institutes of Life Sciences, The Pennsylvania State University, 312 Thomas Building, University Park, PA, 16802-2111, USA

    Naomi S. Altman

  3. Canada’s Michael Smith Genome Sciences Centre, Vancouver, BC, Canada

    Martin Krzywinski

Authors
  1. Loren A. Honaas
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  2. Naomi S. Altman
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  3. Martin Krzywinski
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Corresponding author

Correspondence to Naomi S. Altman .

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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Cite this protocol

Honaas, L.A., Altman, N.S., Krzywinski, M. (2016). Study Design for Sequencing Studies. 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_3

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  • DOI: https://doi.org/10.1007/978-1-4939-3578-9_3

  • Published:

  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-3576-5

  • Online ISBN: 978-1-4939-3578-9

  • eBook Packages: Springer Protocols

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