Here's Simon.

One of this is time series.

We already, you know, generated some data for multiple time series.

But like I said, I think this is one of the big things coming and one of the major advances and major sources of new biological insights in the next five to 10 years.

So we definitely are keen on generating more of this data.

And then we're also thinking of what kind of analytics do we need specifically? We already have tools to do this kind of comparison and say, hey, I found the same microbe here, from there, et cetera, et cetera.

But we are very interested into developing more analytics specifically for this recurring sampling of the same place and same microbiome.

for sort of everything that we could possibly sample for, you know, DNA and RNA and proteins and metabolites, just all the things, right? And so we're going to get a more full picture of activity, and we're going to be able to tie that activity of mobile elements to, well, what's actually changing chemically as the microbiomes keep growing? keep up their activities right and what's is the activity of these mobile elements increasing when we turn up the temperature is it helpful like is it evolutionarily advantageous to a strain to have lots of mobile elements or do they tend to get rid of them Who's winning and who's losing and how are mobile elements enabling those changes? So I think we're going to be able to use the analysis framework that we built here and then push these questions farther in ways that will tell us what to look for when we go back to the field.