Why is it a problem to translate C++ to changng standards when you can just use Agenic AI?

they told the flight attendants to sit down for the second half of the flight (an hour) because it was entirely turbulence

I figure I can spend the time until I get tenure on answering the question, and then the time after tenure arguing about what "regulatory" means

If you're interested, please reach out with your CV and which topics you'd be interested in working on!

- Genomics Software Ecosystem: A major obstacle to our goal is the lack of simple+scalable software that everyone can use. Come build this with me. Training a lightweight deep learning model and using it for design/interpretability/VE prediction should be no more challenging than mapping reads.

- Foundation Models: As someone involved in ML, I am legally required to be working on this topic.

We have an array of ML-based projects for going after this, focusing on the following topics:

- DNA Design ( 🧬 ) We have shown that Ledidi (www.biorxiv.org/content/10.1...) can precisely design DNA, and now it's time to push the boundaries in several directions w/ some very cool collaborations.

It was suggested that the audience may not appreciate/understand :(

Thanks! Let me know if you want me to stop in virtually, we can try to figure out a time.

Hope you find tangermeme helpful in your work! Please reach out if you have any comments + questions.

Because everything is automatic, we can probe models.

What motifs are driving model predictions? Calculate attributions, call + annotate seqlets, and count the annotations!

BPNet is relying on MYC, whereas Beluga is relying on many more TFs. Easy comparison now.

Frequently, people manually annotate seqlets and draw bars or boxes around these high-attribution characters themselves. This is not really a problem, but it's just slow and does not scale genome-wide.

In the above picture, everything is automatically done.

People *talk* about seqlets a lot but tangermeme is the first package for complete functionality.

Here is a complete example of using tangermeme for attributions, seqlet calling + annotation, and plotting, to visualize what five models think of the same locus