Continuing with the admixture analysis with our new reference 3 dataset.

Here's the results spreadsheet for K=8.

You can click on the legend to the right of the bar chart to sort by different ancestral components.

Fst divergences between estimated populations for K=8 in the form of an MDS plot.

And the numbers:
C1 C2 C3 C4 C5 C6 C7
C2 0.098
C3 0.073 0.139
C4 0.090 0.152 0.065
C5 0.184 0.201 0.220 0.231
C6 0.113 0.068 0.147 0.166 0.223
C7 0.164 0.208 0.180 0.170 0.273 0.227
C8 0.158 0.139 0.181 0.212 0.285 0.143 0.275

Continuing with the admixture analysis with our new reference 3 dataset.

Here's the results spreadsheet for K=7.

You can click on the legend to the right of the bar chart to sort by different ancestral components.

Fst divergences between estimated populations for K=7 in the form of an MDS plot.

And the numbers:
C1 C2 C3 C4 C5 C6
C2 0.099
C3 0.102 0.150
C4 0.083 0.139 0.062
C5 0.117 0.069 0.164 0.146
C6 0.168 0.208 0.171 0.179 0.227
C7 0.161 0.140 0.209 0.181 0.143 0.274

Continuing with the admixture analysis with our new reference 3 dataset.

Here's the results spreadsheet for K=6.

You can click on the legend to the right of the bar chart to sort by different ancestral components.

Fst divergences between estimated populations for K=6 in the form of MDS plots.

And the numbers:
C1 C2 C3 C4 C5
C2 0.088
C3 0.085 0.132
C4 0.097 0.145 0.067
C5 0.165 0.203 0.182 0.171
C6 0.154 0.128 0.176 0.205 0.269

UPDATE: With fixed Reference 3.

Continuing with the admixture analysis with our new reference 3 dataset.

Here's the results spreadsheet for K=5.

You can click on the legend to the right of the bar chart to sort by different ancestral components.

Fst divergences between estimated populations for K=5 in the form of MDS plots.

And the numbers:
C1 C2 C3 C4
C2 0.078
C3 0.088 0.126
C4 0.153 0.176 0.127
C5 0.160 0.165 0.201 0.266

UPDATE: With fixed Reference 3.

Continuing with the admixture analysis with our new reference 3 dataset.

Here's the results spreadsheet for K=4.

You can click on the legend to the right of the bar chart to sort by different ancestral components.

I have implemented something in this bar chart. When you click on the legend to sort by a specific component, it filters the results so that only those populations with at least 5% of that component are shown. Let me know what you think about this.

Fst divergences between estimated populations for K=4 in the form of an MDS plot.

And the numbers:
C1 C2 C3
C2 0.120
C3 0.158 0.198
C4 0.168 0.124 0.267

UPDATE: With fixed Reference 3.

Let's start with some admixture analysis with our new reference 3 dataset. We already did K=2 admixture run.

Here's the results spreadsheet for K=3.

You can click on the legend to the right of the bar chart to sort by different ancestral components.

Fst divergences between estimated populations for K=3 in the form of an MDS plot.

And the numbers:
C1 C2
C2 0.114
C3 0.157 0.197

UPDATE: With fixed Reference 3.

Let's start with some admixture analysis with our new reference 3 dataset.

Here's the results spreadsheet for K=2 (i.e. two ancestral populations).

You can click on the legend to the right of the bar chart to sort by different ancestral components.

Fst divergences between estimated populations for K=2:
C1
C2 0.168

With the increase in the number of groups to more than 160, the bar chart has gotten too busy and is hard to figure out. Any suggestions to improve its readability? I have two ideas: One is to have a dropdown menu to select regions and thus have separate charts for each region. The other, which I like better, is to show only the top 50 groups for the ancestral component you are sorting by. Any other ideas are welcome.