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arXiv · 1406.3258

Scanning a Poisson Random Field for Local Signals

Nancy R. Zhang·Benjamin Yakir·Charlie L. Xia·David Siegmund
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Abstract

The detection of local genomic signals using high-throughput DNA sequencing data can be cast as a problem of scanning a Poisson random field for local changes in the rate of the process. We propose a likelihood-based framework for for such scans, and derive formulas for false positive rate control and power calculations. The framework can also accommodate mixtures of Poisson processes to deal with over-dispersion. As a specific, detailed example, we consider the detection of insertions and deletions by paired-end DNA-sequencing. We propose several statistics for this problem, compare their power under current experimental designs, and illustrate their application on an Illumina Platinum Genomes data set.

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Nancy R. Zhang, Benjamin Yakir, Charlie L. Xia, David Siegmund. 2014-06-12. Scanning a Poisson Random Field for Local Signals. https://arxiv.org/abs/1406.3258

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