Biowebtronics Biotech, startups, web development and internet of things.

Programming Transcriptic

So you want to program a biology lab? You’re in the right place.

Today we are going to instruct a completely automated robotic cloud lab to grab a genetically modified strain of bacteria from a library of common reagents, innoculate some bacterial growth media and finally watch how that culture grows over 8 hours by seeing how the bacteria scatter 600nm light.

Generating drug dose ranges with Autoprotocol for screening

I was thinking that when writing a protocol with Autoprotocol it would be really useful to say “Give me a plate of a drug that covers a dose range from 10nM to 100nM”. It turned out that this was a little bit more complex than I had originally thought.

Peter Thiel on randomness in biology

Peter Thiel

Assessing the metabolic burden of a DNA construct on the host, a first draft

Phew it’s been a while! I’ve been busy, but in all honesty I haven’t done a Transcriptic blog recently because I’ve been doing a lot of repetition trying to optimise plating bacteria. There’s a lot to write about, but I think it would be best for both you and I if I try and keep it short. In this post I want to cover doing some rough analysis of early data from my burden assay project on Transcriptic.

Flow chemistry automation with Pumpy

Flow chemistry is pretty hot right now, check out anything by Steve Ley he does some cool stuff. Flow chemistry and microfluidics are really popular, they enable precision control over the spatial distribution of materials during continuous processes. This is useful when one wants to continuously combine materials such as in a chemical process ultimately yielding a higher throughput when compared to batch processing. Flow chemistry and microfluidics also enable the emulation of biological systems, replicating similar kinetics and shear flows at surfaces which are not necessarily possible in bulk processes.