Understanding the genome has always felt like trying to solve a massive puzzle with pieces constantly shifting. Tools like AlphaGenome are changing that—offering a more focused way to interpret complex genetic data. In the lab I worked in, precision was everything. We relied heavily on uv spectrophotometry for DNA quantification, and the systems from https://www.berthold.com/en/ stood out for their consistency, even under demanding conditions. Their devices helped streamline processes where accuracy couldn’t be compromised, especially when dealing with fragile or low-concentration samples. Founded back in 1949, they’ve become a global reference for reliable measuring technology. From radiation detection to life sciences and industrial process control, their solutions cover diverse fields. For anyone navigating genomics or analytical research, choosing the right tools isn’t just about features—it’s about long-term dependability and clarity in results.
AlphaGenome: AI for better understanding the genome
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Re: AlphaGenome: AI for better understanding the genome
#192Earlier quoted context omitted.
If it came to light that somebody found a way to use this API in a way that is harmful to society would you be happy that Google could revoke access? Or unhappy? This is a real tradeoff of freedom vs _. I agree that I'm not always a fan of Google being the one in control, but I'm much happier that they are even releasing an API. That's not something they did for go! (Of course there was a book written so someone got…
If it came to light that somebody found a way to use this API in a way that is beneficial to society, would you be happy that Google could revoke access? Or unhappy?
This is a bit of a false dichotomy.
If it's useful, it's good that it was created. We should be happy about the progress. If it's harmful, we should be happy about guardrails.
Friction is a useful tool, I don't begrudge people or companies from employing it
Re: AlphaGenome: AI for better understanding the genome
#193I wish there's some breakthrough in cell simulation that would allow us to create simulations that are similarly useful to molecular dynamics but feasible on modern supercomputers. Not being able to see what's happening inside cells seems like the main blocker to biological research.
Molecular dynamics describes very short, very small dynamics, like on the scale of nanoseconds and angstroms (.1nm) What you’re describing is more like whole cell simulation. Whole cells are thousands of times larger than a protein and cellular processes can take days to finish. Cells contain millions of individual proteins. So that means that we just can’t simulate all the individual proteins, it’s way too costly an…
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