A key challenge in quantitative ChIP-seq is the normalisation of data in the presence of genome-wide changes. Data-based methods often rely on assumptions that do not hold true. Misapplication of these methods to ChIP-seq data results in the suppression of the biological signal or erroneous measurement of differential occupancy. To develop methods that address this challenge, we generated ChIP-seq data measuring Estrogen Receptor-alpha (ER) binding in MCF7 before and after 100 nm Fulvestrant treatment for 48 hours. This repository provides data generated using a novel internal control as well as data generated using a xenogenic spike-in method.
Funding
Parts of this work were funded by CRUK core grant [grant numbers C14303/A17197, A19274] to FM; Breast Cancer Now Award [grant number 2012NovPR042] to FM; CRUK Travel Award [grant number C60571/A24631] to AH; and a Thomas Jefferson Fellowship to AH.