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GeneDoc (http://www.nrbsc.org/gfx/genedoc/) was used to visualize the alignments and calculate the cumulative fraction plots of DNA sequence variation.
Due to their non-parametric distribution nature, protein property data (protein cellular abundance, biochemical properties and entropic contribution) were visualized as cumulative fraction plots.
Cumulative fraction plots of relative positions represent measurements of 43 antibody-labeled molecules (green) and 134 bubble-containing molecules (blue).
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We first evaluated the variability in the depth of coverage of short-insert reads by plotting the cumulative fraction of normalized depth of correctly paired read coverage that covers a given cumulative fraction of genome (Fig. 2).
The CAT-plot presents the cumulative fraction of common genes on top of the list for positions below a running threshold.
Figure 24: Cumulative fraction of simulated lightcurves detected with a significant probability of variability.
Finally, we show histograms of cumulative fraction of lightcurves detected with a significant variability probability (above some value of log10 P-1)).
Cumulative fraction histograms are shown for a variety of lightcurve lengths, mean count rates, and fractional root mean square variability.
Figure 2 Cumulative fraction of tweets as a function of time.
b Cumulative fraction of compounds reconstructed with the Tanimoto coefficient (TC) shown on the x-axis.
Fig. 30 Normal scores probability Fig. 31 A Kolmogorov-Smirnov 2 test comparison cumulative fraction.
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