Happy someone did the math! I've run into this numerous times and have had lots of theories but no time/energy/math skills to follow through - there's a sweet spot at an MOI around 10^-3 to -5 where resistance may still occur, but above/below that the bacteria win faster in a simple system.

This is a great preprint - I can't wait to see the polished product!

It's interesting (in a bad way) that these bigger LLMs seem so off with their advice in a lot of different fields and so prone to hallucinations. Meanwhile, I know folks who use OpenEvidence regularly and haven't had similar issues. I wonder if the big ones just absorb too much questionable material

This one hurts. yikes

Other groups use it successfully, so I know it's a me problem. To be fair, up until a few weeks ago I couldn't even figure out how to download something from GitHub (a dangerous admission, I know).

I can muddle my way through installing Python and even figured out how to install Bacphlip, but it seems to run on an old version of python, and even if I get that going, I can't get the command line to run the script on the genome of interest. I'm sure it's something silly.

I'm afraid you're not open to messaging. My overall bioinformatics needs are high (someday, over the rainbow , I'll have funding to hire a full time bioinformatics specialist / geneticist), but the current need is narrow. I am just trying to figure out how to make Bacphlip work.

great thread!!