RT Journal Article
SR Electronic
T1 A flexible simulation toolkit for designing and evaluating ChIP-sequencing experiments
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 624486
DO 10.1101/624486
A1 Zheng, An
A1 Lamkin, Michael
A1 Qiu, Yutong
A1 Ren, Kevin
A1 Goren, Alon
A1 Gymrek, Melissa
YR 2019
UL http://biorxiv.org/content/early/2019/05/01/624486.abstract
AB 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.