From: ghost-tree: creating hybrid-gene phylogenetic trees for diversity analyses
Test statistic (R) | p value | % explained | |
---|---|---|---|
Unsimulated (real) data community analysis | |||
Jaccard (Fig. 2a) | 0.865 | 0.001 | 31.24 |
Bray-Curtis (Fig. 2b) | 0.849 | 0.001 | 47.17 |
Unweighted UniFrac with FastTree (Fig. 2c) | 0.734 | 0.001 | 43.56 |
Weighted UniFrac with FastTree (Fig. 2d) | 0.263 | 0.001 | 63.52 |
Unweighted UniFrac with ghost-tree (Fig. 2e; Additional file 1: Figure S1A) | 0.753 | 0.001 | 50.79 |
Weighted UniFrac with ghost-tree (Fig. 2f; Additional file 1: Figure S1B) | 0.463 | 0.001 | 76.21 |
Unweighted UniFrac with ghost-tree 0 branch foundation (Additional file 1: Figure S1C) | 0.730 | 0.001 | 50.61 |
Weighted UniFrac with ghost-tree 0 branch foundation (Additional file 1: Figure S1D) | 0.458 | 0.001 | 76.91 |
Unweighted UniFrac with ghost-tree 0 branch extensions (Additional file 1: Figure S1E) | 0.700 | 0.001 | 66.11 |
Weighted UniFrac with ghost-tree 0 branch extensions (Additional file 1: Figure S1F) | 0.453 | 0.001 | 67.97 |
Simulated data community analysis | |||
Jaccard to analyze FTSCs (Fig. 3a) | 0.191 | 0.001 | 3.05 |
Bray-Curtis to analyze FTSCs (Fig. 3b) | 0.191 | 0.001 | 2.71 |
Jaccard to analyze GTSCs (Fig. 3c) | 0.036 | 0.001 | 1.63 |
Bray-Curtis to analyze GTSCs (Fig. 3d) | 0.036 | 0.001 | 2.43 |
Unweighted UniFrac with FastTree to analyze FTSCs (Fig. 3e) | 0.675 | 0.001 | 22.10 |
Weighted UniFrac with FastTree to analyze FTSCs (Fig. 3f) | 0.255 | 0.001 | 43.69 |
Unweighted UniFrac with FastTree to analyze GTSCs (Fig. 3g) | 0.298 | 0.001 | 68.87 |
Weighted UniFrac with FastTree to analyze GTSCs (Fig. 3h) | 0.150 | 0.001 | 54.08 |
Unweighted UniFrac with ghost-tree to analyze FTSCs (Fig. 3i) | 0.302 | 0.001 | 27.72 |
Weighted UniFrac with ghost-tree to analyze FTSCs (Fig. 3j) | 0.117 | 0.001 | 35.55 |
Unweighted UniFrac with ghost-tree to analyze GTSCs (Fig. 3k) | 0.580 | 0.001 | 20.40 |
Weighted UniFrac with ghost-tree to analyze GTSCs (Fig. 3l) | 0.307 | 0.001 | 44.98 |