Experimental Design and Quality Control of Next-Generation Sequencing Experiments

Peter A.C. 't Hoen; Matthew S. Hestand; Judith M. Boer; Yuching Lai; Maarten van Iterson; Michiel van Galen; Henk P. Buermans; Johan T. den Dunnen

doi:10.1002/9783527644582.ch27

Experimental Design and Quality Control of Next-Generation Sequencing Experiments

Peter A.C. 't Hoen, Matthew S. Hestand, Judith M. Boer, Yuching Lai, Maarten van Iterson, Michiel van Galen, Henk P. Buermans, Johan T. den Dunnen

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Hoofdstuk › peer review

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Next-generation sequencing (NGS) is a powerful, but resource-intensive technology. Spending money on an experiment that cannot give an answer to the research question at hand is a waste. This chapter addresses several issues in the experimental design of tag-based expression profiling and chromatin immunoprecipitation (ChIP-seq) experiments, and provides some practical guidelines for finding the most optimal experimental design. Monitoring of the quality of the different experimental and analytical procedures is also key to the success of NGS experiments. General as well as platform- or application-specific quality control measures and checks are also described.

Originele taal-2	Engels
Titel	Tag-Based Next Generation Sequencing
Uitgeverij	Wiley-VCH
Pagina's	417-433
Aantal pagina's	17
ISBN van geprinte versie	9783527328192
DOI's	https://doi.org/10.1002/9783527644582.ch27
Status	Gepubliceerd - 23 jan. 2012
Extern gepubliceerd	Ja

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AU - 't Hoen, Peter A.C.

AU - Hestand, Matthew S.

AU - Boer, Judith M.

AU - Lai, Yuching

AU - Iterson, Maarten van

AU - Galen, Michiel van

AU - Buermans, Henk P.

AU - den Dunnen, Johan T.

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AB - Next-generation sequencing (NGS) is a powerful, but resource-intensive technology. Spending money on an experiment that cannot give an answer to the research question at hand is a waste. This chapter addresses several issues in the experimental design of tag-based expression profiling and chromatin immunoprecipitation (ChIP-seq) experiments, and provides some practical guidelines for finding the most optimal experimental design. Monitoring of the quality of the different experimental and analytical procedures is also key to the success of NGS experiments. General as well as platform- or application-specific quality control measures and checks are also described.

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KW - Perspectives

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BT - Tag-Based Next Generation Sequencing

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Experimental Design and Quality Control of Next-Generation Sequencing Experiments

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