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. 2011 Jul 29;39(19):e130. doi: 10.1093/nar/gkr592

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Published by Oxford University Press 2011.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 1. — The null distribution of log2ratio of simulation data. The plot shows histograms of log2 ratio of read counts between two independent samples. The red dotted line in each histogram is the Gaussian approximation to the histogram. The simulation data were generated under different Poisson rates with/without imposing biological variation: (A) read simulated under one Poisson rate (0.01) and no biological variation; (B) read simulated under the Poisson rate 0.1 and no biological variation; (C) read simulated under the Poisson rate 1 and no biological variation; (D) read simulated under different Poisson rates (rates ranging from 0.01 to 10) and different levels of biological variation (SD ranging from 0 to 0.3). The simulation results show that the log2ratio of read counts can be well approximated by the Gaussian distribution when the average number of read tag per regions is >10.