[ilovecaching]

Neural networks that construct ontologies from gene similarity matrices for discovering cancer pathways are tools that help cure cancer. There are a myriad of technologies supporting these type of applications; Torch, Python, Tensorflow... Docker is a minor detail that has as much to do with curing cancer as JSON or HTTP. When you make a claim like the one Docker is making, you should be a critical piece of the pipeline that actively contributes towards the end goal, not a piece of infrastructure. As a scientist, I find it disgusting that they're using cancer research as their buzz word for stability and importance.

[tonyhb]

> Reproducibility is a big problem in analytic pipelines, specifically genomics... [Docker solves this problem].

There is a legitimate fundamental issue with reproducing people's setups and Docker solves this. Ergo docker is valuable technology for data science.

Literally typing `docker run...` to reproduce results (vs. VM setup, installation etc.) seems important enough to justify their phrasing.

Fact: there are handfuls of data science startups that essentially rebrand docker and have been funded in the hundreds of millions of dollars specifically to solve this problem.