Figure 6. Increasing the number of samples for a fixed depth of coverage improves both components characterization and binning precision.
Left: A fixed number of 
counts were generated from a model defined by uniformly drawn 
and 
matrices using 
. The value of 
, the number of samples, varied from 1 to 1000, and 100 trials were performed for each value. The highest average precision of 
estimation is obtained for 
. Right: A fixed number of 8,192,000 reads of length 400 bp were sampled from different numbers of samples, each consisting of 15 species in uniformly drawn proportions. The smallest average error over all samples was obtained when 32 samples are sequenced. In both plots the error bars give the standard error of the mean.