roye

one more, from google: https://ai.googleblog.com/2020/07/announcing-scann-efficient...

Academic example but I'm sure it's made it's way to this industry as well: in bioinformatics, this has proven tremendously useful for approximate string matching to do things like identify microbes in sequenced microbiome samples - cf https://genomebiology.biomedcentral.com/articles/10.1186/s13...

how do you compare with substack?

I wonder how driverless cars will effect this. Similarly I'm wondering if ride-sharing apps already are. Single cars picking up 4 adults that would otherwise be driving could potentially hugely reduce the number of cars on the road, making commutes shorter for all involved.

Long reads from PacBio, Oxford Nanopore, and 10x are also exciting. This new tech coupled with HiC for scaffolding and single cell sequecing brings up the possibility of complete knowledge of your genome, the collection of strains in a metagenome, or all the types of cells in a tissue/cancer sample.

Thinking along these lines I also found this: http://reversedictionary.org/

I saw stars indicate difficulty; do colors also have some meaning?

there's also a cornell-technion joint venture called the "Runway startup postdoc" aimed for new PhDs to transition to being founders: http://tech.cornell.edu/programs/startup-postdocs

strange that Lytro isn't mentioned anywhere, given they developed a product that works similarly.

The more relevant continuation of Heng Li's posts is Pall Melsted et al's work on GFA: https://github.com/GFA-spec/GFA-spec

This is pretty close to my area...

The main one is vg, which I think Benedict Paten is actively supervising, along with Richard Durbin. The main developer is Erik Garrison. I'm pretty surprised it wasn't mentioned by name: https://github.com/vgteam/vg

Actually there are new approaches to study exactly that, and they are developing rapidly, cf: https://en.wikipedia.org/wiki/Chromosome_conformation_captur... Basically, this problem, along with a long list of other applications is being attacked by deep sequencing. The way it works is that you apply a treatment to DNA that 'glues' 3D contacts in place and covers the glued segment, apply restriction enzymes to cut out what's not covered by glue, get rid of the glue, sequence all that's left, and then map the remaining sequenced fragments to the reference genome. The output is the relative tendency of different regions to come into contact with each other.