Earlier quoted context omitted.
> it would probably make more sense to just knock out the activated oncogene(s) in the patient's cancer I've been wondering about that for the past couple of years, since I heard of CRISPR basically. Who is working on this aspect most seriously right now? Is there any interesting published progress? I understand it will take a while to make real progress, but mostly I'm just curious as an outsider to the industry.
I don't think anyone is; it's still too far out there. I'm sure that there's plenty of research building towards it, but I couldn't name any names. I'm also an outsider to the industry, but CRISPR is actually a simple protocol that doesn't require much advanced equipment, and I've been looking into using it for some home science projects. The problem as I understand it is that right now, CRISPR requires some manual s…
I am not a biologist, but nevertheless I found out something interesting today regarding the problem of designing good guide RNA via machine learning.
The work that I learnt about today addresses 2 key questions via machine learning approaches: off-target effects of CRISPR (http://biorxiv.org/content/early/2016/10/05/078253) and optimization of the guide RNA sequence to maximize on-target activity and minimize off target effects (http://www.nature.com/nbt/journal/v34/n2/full/nbt.3437.html).
I learnt of this stuff from one of the authors who works at MSR New England (http://nicolofusi.com/).
Also of possible interest is their project page https://www.microsoft.com/en-us/research/project/crispr/, where they are planning to release a cloud-based service for end-to-end guide design by incorporating the approaches developed in the above work.