siQ-ChIP:A reverse-engineered quantitative framework for ChIP-sequencing
Bradley M. DicksoniD, Rochelle L. TiedemanniD, Alison A. ChomiakiD, Robert M. VaughaniD, Evan M. CornettiD, Scott B. RothbartiD
Abstract
Chromatin immunoprecipitation followed by next-generation sequencing (ChIP-seq) is a key technique for mapping the distribution and relative abundance of histone posttranslational modifications (PTMs) and chromatin-associated factors across genomes. There is a perceived challenge regarding the ability to quantitatively plot ChIP-seq data, and as such, approaches making use of exogenous additives, or \"spike-ins\" have recently been developed. Relying on the fact that the IP step of ChIP-seq is a competitive binding reaction, we present a quantitative framework for ChIP-seq analysis that circumvents the need to modify standard sample preparation pipelines with spike-in reagents. We also introduce a visualization technique that, when paired with our formal developments, produces a much more rich characterization of sequencing data.
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