Genome

Yeah, I mean, the fact that that just seems to be part of the business model is crazy.

Like, again, I work for the Genomes and the two branded team names we've really seen here.

is the genomes or are the genome is the genomes uh whatever the genomes and the mobiles right pocket mobiles right and both those were one year things uh and so like a branded team name in this country is just not really it's not a baseline expectation yeah and and they tried by the way with their post about it they said something along the lines of you know this is uh they knew the criticism so they were like well this is a thing that you know it's very common in asian baseball korea japan all that and i just need to express the damn difference right

noted korean city irvine california

Even so, he opened the Django tutorial and started reading.

Six years later, that app is Foundry 120, holding 10 terabytes of clinical and genomics data with agentic AI running on top of it.

This is Talk Python to Me, episode 560, recorded August 26th, 2026.

Uh, Talk Python to me Yeah, we ready to roll Upgrading the code No fear of getting old ASync in the air New frameworks in sight Geeky rap on deck QWERTH crew, it's time to unite We started in Pyramid Cruising old school lanes Had that stable base, yes, sir

So the, the life cycle of a experimental sample then leads you on to dealing with the data that comes back.

Now, because we were taking so many different types of samples, one of the key challenges that's faced our team was how do you handle the data that was coming back at us? 'Cause we have stool samples that becomes, you know, microbiome data.

We have, uh, blood samples that become, uh, geno- genomics data.

And every data type that comes back just looks a little bit different, comes back in different formats, uh, you know.

That's really interesting.

About 15 years ago, I did a short little, uh, bioinformatics course that I was learning a little bit about that, and we talked a lot about the Human Genome Project and how people had donated their computer power.

So because it took so much CPU power that people would allow their computers to be used online so that they could map out the human genome.

Were you-- Did you ever hear about that?

I did not realize people are also donating their, like, own computing power to it, but that makes a lot of sense.

It can regulate some of the actual messenger RNA that may otherwise get translated to proteins.

Some of it also encodes for the kind of machinery that helps build that protein, so that's really important.

And then there's also sections of our DNA that can actually copy themselves and move throughout the genome, uh, so they're called transposons or more kind of layman's terms some people might call them jumping genes.

quieter frontier, re-analysing data we already have.

Genomes that were sequenced 10 years ago, when methods were cruder, can be re-examined with new statistical tools.

Ancient DNA datasets that were initially scanned only for Neanderthal or Denisovan ancestry can be probed for more subtle, off-tree patterns.

Fossils sitting in museum drawers can be redated, remeasured or sampled again with improved techniques.

Tree rings with missing years.

Ice cores with weird spikes.

Genomes with segments that don't match anything in our reference panels.

Maps with blank patches labelled, here be something, but we're not sure what yet.