BMC Bioinformatics | |
Sierra platinum: a fast and robust peak-caller for replicated ChIP-seq experiments with visual quality-control and -steering | |
Methodology Article | |
Mariam Farman1  Lydia Müller1  Dirk Zeckzer2  Daniel Gerighausen2  | |
[1] Bioinformatics Group, Department of Computer Science, University of Leipzig, Härtelstraße 16–18, 04107, Leipzig, Germany;Image and Signal Processing Group, Department of Computer Science, University of Leipzig, Augustusplatz 10, 04109, Leipzig, Germany; | |
关键词: ChIP-seq; Peak-caller; Histone modifications; Replicate analysis; | |
DOI : 10.1186/s12859-016-1248-6 | |
received in 2016-04-10, accepted in 2016-09-08, 发布年份 2016 | |
来源: Springer | |
【 摘 要 】
BackgroundHistone 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.ResultsWe 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.ConclusionWe 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.
【 授权许可】
CC BY
© The Author(s) 2016
【 预 览 】
Files | Size | Format | View |
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RO202311100637953ZK.pdf | 1312KB | download |
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