Please use this identifier to cite or link to this item: https://ndl.ethernet.edu.et/handle/123456789/105447
Title: Accounting for immunoprecipitationefficiencies in the statistical analysis ofChIP-seq data
Authors: Yanchun Bao, Veronica Vinciotti, Ernst Wit and Peter AC ’t Hoen
Keywords: Accounting for immunoprecipitation
Issue Date: 2013
Description: ImmunoPrecipitation (IP) efficiencies may vary largely between different antibodies and between repeated experiments with the same antibody. These differences have a large impact on the quality of ChIP-seq data: a more efficient experiment will necessarily lead to a higher signal to background ratio, and therefore to an apparent larger number of enriched regions, compared to a less efficient experiment. In this paper, we show how IP efficiencies can be explicitly accounted for in the joint statistical modelling of ChIP-seq data.
URI: http://196.189.45.87:8080/handle/123456789/105447
Appears in Collections:Accounting and Finance

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