Müller Lydia, Gerighausen Daniel, Farman Mariam, Zeckzer Dirk
Bioinformatics Group, Department of Computer Science, University of Leipzig, Härtelstraße 16-18, Leipzig, 04107, Germany.
Image and Signal Processing Group, Department of Computer Science, University of Leipzig, Augustusplatz 10, Leipzig, 04109, Germany.
BMC Bioinformatics. 2016 Sep 15;17(1):377. doi: 10.1186/s12859-016-1248-6.
Histone modifications play an important role in gene regulation. Their genomic locations are of great interest. Usually, the location is measured by ChIP-seq and analyzed with a peak-caller. Replicated ChIP-seq experiments become more and more available. However, their analysis is based on single-experiment peak-calling or on tools like PePr which allows peak-calling of replicates but whose underlying model might not be suitable for the conditions under which the experiments are performed.
We propose a new peak-caller called 'Sierra Platinum' that allows peak-calling of replicated ChIP-seq experiments. Moreover, it provides a variety of quality measures together with integrated visualizations supporting the assessment of the replicates and the resulting peaks, as well as steering the peak-calling process.
We show that Sierra Platinum outperforms currently available methods using a newly generated benchmark data set and using real data from the NIH Roadmap Epigenomics Project. It is robust against noisy replicates.
组蛋白修饰在基因调控中起重要作用。它们在基因组中的位置备受关注。通常,位置是通过ChIP-seq测量并用峰检测工具进行分析。重复的ChIP-seq实验越来越多。然而,它们的分析基于单实验峰检测或像PePr这样允许对重复样本进行峰检测但其基础模型可能不适用于实验进行条件的工具。
我们提出了一种名为“Sierra Platinum”的新峰检测工具,它允许对重复的ChIP-seq实验进行峰检测。此外,它还提供了各种质量度量以及集成可视化,支持对重复样本和所得峰进行评估,并指导峰检测过程。
我们表明,使用新生成的基准数据集和来自美国国立卫生研究院路线图表观基因组学项目的真实数据,Sierra Platinum优于当前可用的方法。它对有噪声的重复样本具有鲁棒性。