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bioRxiv · 10.1101/624486

A flexible simulation toolkit for designing and evaluating ChIP-sequencing experiments

Zheng, A.·Lamkin, M.·Qiu, Y.·Ren, K.·Goren, A.·Gymrek, M.
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Abstract

A major challenge in evaluating quantitative ChIP-seq analyses, such as peak calling and differential binding, is a lack of reliable ground truth data. We present Tulip, a toolkit for rapidly simulating ChIP-seq data using statistical models of the experimental steps. Tulip may be used for a range of applications, including power analysis for experimental design, benchmarking of analysis tools, and modeling effects of processes such as replication on ChIP-seq signals.

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Zheng, A., Lamkin, M., Qiu, Y., Ren, K., Goren, A., Gymrek, M.. 2019-05-01. A flexible simulation toolkit for designing and evaluating ChIP-sequencing experiments. https://doi.org/10.1101/624486

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