Yeah, like I said:
In this case, these plots look identical, just flipped on Axis 2
. ProTip: you can invert any of the axes in the visualizer. In this case I'd invert Axis 2
to make it look more like the other PCoA plot. Also, this brings up another point: if your biological signal is very robust, it will not matter if you use de novo or fragment insertion output. So, pick your favorite . Seems like the variance along the axes is is better explained with the fragment insertion.