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SLiM: Selection on Linked Mutations (in case you didn’t get a chance to look it up).

Thanks, this was helpful.

Hi! Can you detail on why snakemake knows that tasks should be run in a sequential manner? Particularly for variant calling this is very important. Best Regards!

Very Impressive.

thanks. a very helpful video

Where is inference code man

Wow this brings back so many memories! 😊😊Thanks for putting this presentation together 🙏🙏 I don't often see LaTeX talks on TH-cam. I wrote most of my homework and papers in LaTeX in college because I loved how neat and professional the output was 😊😊

drive.google.com/drive/folders/1EowAfwlIy2qwHHoJ-evAPmydrAiwNW9f Here is the MNIST dataset processed folder incase

Go tigers Graham

Thanks for this guide! Like another commenter asked, how do you get the google verification HTML code? I'm struggling with that part!

Really nice overview! Would the colab notebook be available?

Wonderful work...Thank you so much, guys ❣

Do you have link, for the Jupyter Notebook?

If you get an error like "no permissions" and you're on Linux, you probably have to use "sudo" before the command, then you have admin-rights.

Is the code available anywhere?

the code could be shared please?

Hey, how did you get that google verification .html in 44:48? Thanks!

awesome talk! thanks for sharing

Good stuff!

update: there is a version for Linux Ubuntu!

Is there a plan to make a demo to go through the whole scvi-tools toolkit? It has become so massive that it becomes quite daunting to use it as a methods developer.

Excellent! Well done.

The downloaded MNIST folder only have a folder named "raw" inside. Would you please help? Are you explaining this in the later part of the video?

great, tnx for tutorial!

Coming from Python, this presentation was a striking primer on why I keep an eye on Julia! At 31:10, the lack of a multiplication sign between the number and units (e.g. 2.5μm) caught my eye. Looking through the docs, I see this is possible since Julia has implicit multiplication (docs.julialang.org/en/v1/manual/integers-and-floating-point-numbers/): > To make common numeric formulae and expressions clearer, Julia allows variables to be immediately preceded by a numeric literal, implying multiplication ... The precedence of numeric literal coefficients used for implicit multiplication is higher than other binary operators such as multiplication (*) I've used Pint for units in Python (pint.readthedocs.io/en/stable/), which was nice, but seems like the syntax in Julia is cleaner and speed faster.