It's a very interesting project. What are the big picture goals? I am asking from the POV of having spoken to many people in the genomics data ecosystem, such as pharmaceutical "chief commercialization officers," not just engineers.
Let people benefit from DNA data analysis without the data leaving their device or sphere of control.
Let people monetize their genetic data without compromising their security.
let's say i recorded a video of the ENTIRE end user experience of (A) collecting the genomics data with your solution (B) using an existing solution. which scene in the video would be different?
see, the problem is, not a single scene would be different.
We’re focusing on an incremental improvement.
There are people actively working on private home sequencing, at home analysis devices, etc and they’re best placed to do it.
We’re trying to get ahead of a near future where people, implicitly or explicitly, are paid for their genetic data in insecure or exploitative ways.
all the value is in the analysis and sharing.
define insecure or exploitative. it is a very shallow argument to say, iNsUrAnCe cOmPaNiEs - genomic data harvested by insurance companies will never benefit the consumer, but we already have laws against that scenario, the technology doesn't really matter. or the narrow situation with, something something, medical research derived from tissues and the tissue-donators not given a just compensation? i don't know if that's exploitative. and people are already walking, insecure DNA-donators. you are surrounded by easily deanonymized DNA samples everywhere you walk right now...
I'm aware of people working on at-home devices but that is not our own approach.
We are just working on a mixing service to anonymize data user identities as their samples and data move through labs, logistics, etc.
Legal protections around genetic data can easily be rolled back in several ways, both incremental and drastic.
While it's true someone's DNA can easily be collected by a sufficiently motivated party, there is still a need at scale for something regular people can use to investigate their ancestry and predispositions without becoming datasets for unheeding organizations.
The 23andMe hacks, for example, should be a sobering realization that personal genomics is a systemic risk for several classes of people.