Fig. 3

Overview of the shotgun metagenomics datasets used for the challenge and extended benchmarking analysis. A total of 104 real and simulated metagenomics shotgun datasets grouped into 19 categories (surrounded by ovals) representative of microbiome samples from various environmental settings and mammalian organs were generated for the challenge or selected from previous studies for the extended benchmarking analysis. The characteristics of the simulated datasets are indicated in the legend. The line of the oval represents the mixing model used for creating each benchmarking dataset in the group. Dataset properties are shown by the background color shading. Datasets with Shannon index values below and above a threshold value of 3 were considered as having low (L) and high (H) complexity, respectively