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The Acquired podcast covers the full family history https://podcasts.apple.com/us/podcast/mars-inc-the-chocolate...


How will you reach out to enough people so they are aware and can order the service? I'm thinking about the minimum viable business opportunity here.


At the time, Italy counted other "single contributor" petrification fellows. See https://www.museogorini.com/pietrificazione_eng.php

Curious if that was also present in other countries.


Upvoted for the Theobroma cacao reference. Made me curious about what you are up to.


At the time they announced the full genome sequence I was an intern in molecular biology. We had a thermocycler in the lab and I had to book my slot on a paper agenda. I remember this portrait of him in front of multiple racks each plenty of thermocyclers. He taught me something about scale and he proved that sometimes it's worth looking at what you have and ask what if I could 200x this. In software this might seem obvious with GPU arrays etc.. but when you are trained in a wet lab and the instrument paper agenda, I wonder if we could have more breakthroughs in life sciences if we could use some bruteforce now and then. RIP


I'm a statistician. My wife does basic (biological) science. Almost every time she asks my advice on an experiment I want to tell her to 10x the sample size. But the academic community has certain ideas about how big sample sizes should be, and trying to use radically larger samples runs into all sorts of barriers ranging from ethics concerns (for animal experiments) to funding.

At the end of the day there's only so much you can learn from a sample size of 12. I'm not sure it's more ethical to have a bunch of wasted experiments with 12 mice each where you don't learn anything than to use 100 mice and actually have statistical power to identify something other than the hugest effect sizes.


Lack of appropriate funding leads to cutting corners to the point that some results may not be worth the price of the paper to describe them. I had a passing experience with epigenetics. Even experiments with basically free of ethics issues cell lines could be screwed up by using single end, too short sequencing reads. Combined with too low coverage, less than perfect controls it gives the input data I which the state of the art peak callers will just throw the towel. So the "trick" is to use some way more forgiving peak caller and get a rather crappy results. Using the outdated human genome assembly (hg19), and old genome mapping programs just puts an extra cherry on the cake...


I'm in lab automation, we've come a long way from paper schedules (although those still get plenty of use :) )


Awesome, does it support Semiproducts? For example I'm making my own jam (sugar + fruit) and then I use this again as a material in different finished products, say cakes and croissants.


Nice idea, i think i can make it work. Give me a day or two


Apparently the works were known since long time, not 'recently found' as the title suggests. The novelty is the authorship attribution to JSB.


The EU publishes monthly bulletins around DNA surveillance programs. "The bulletin summarise the reported results and findings from European national wastewater surveillance programmes. It also informs about the local surveillance projects and non-EU countries participating as observers" https://wastewater-observatory.jrc.ec.europa.eu/#/bulletin


The article is from 2016. Update 2018: development of a rapid test for cheese authenticity https://www.foodauthenticity.global/new-services/new-test-fo...


This, with some illustrations, could be a fantastic book for kids and adults.


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