2min chapter

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#335: Gene Editing with Python

Talk Python To Me

CHAPTER

How Much Data Is in D and A?

The act of measuring the changes itself is relatively computation intensive, so we run and support pipe lines for all these standard assays as well. For standard things, it would be out of the order of a few gigabites per experimental run. That's the wate data, but not impossible to transmit sort of amounts of r or store, right? Every little piece of it is pretty manageable. When you start combining them together and looking at some doubt, like your down scream results and things, the data does get cr pretty large,. But i wouldn't say we're at the scale of like, big data analytics at gugle or anything like that.

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