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A community composed of the ten worst-performing teams has an identifiability distribution that is approximately equivalent to that of a community of random prediction lists the two-sample Kolmogorov-Smirnov test p-value is 0.89.
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The FAMeS artificial datasets (http://fames.jgi-psf.org/description.html), are mock metagenomic community datasets composed of random reads from 113 isolate microbial genomes.
The sentence included two years of probation, 80 hours of community service, random drug tests, confinement to the state of Michigan until given leave by the judge, and 180 days of car immobilization.
It involves the sequencing of random community DNA from environmental samples and subsequent determination of taxonomic and protein-encoding gene diversity.
By comparing the functional diversity of the observed communities with functional diversity of random assemblages, we found no differences at low species richness level, whereas observed species-rich communities have lower functional diversity than respective random assemblages.
We calculated a p-value for this test as (number of random communities with the same or fewer identical pairs+1)/10,000.
The predicted FD of random communities showed a similar pattern.
To assess the significance of the observed number of shared functional genes between communities, and to test the null hypothesis of random assemblage of communities at sites, we resampled from the total functional gene set to construct 10,000 simulated data sets for each sampling site and estimated the number of shared genes in pair wise comparisons.
A random community of a size h is formed by randomly assigning h cells into it.
For more details, check Section G of Additional file 1. Figure 7(a) shows that small-size communities have slightly higher average happiness than a random community of the same size.
The model is initiated with a random community of n = 4 different replicator types occupying 80% of the sites at t = 0.
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