TY - JOUR T1 - A flexible simulation toolkit for designing and evaluating ChIP-sequencing experiments JF - bioRxiv DO - 10.1101/624486 SP - 624486 AU - An Zheng AU - Michael Lamkin AU - Yutong Qiu AU - Kevin Ren AU - Alon Goren AU - Melissa Gymrek Y1 - 2019/01/01 UR - http://biorxiv.org/content/early/2019/05/01/624486.abstract N2 - 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. ER -