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I think there's lot of room to improve tools in bioinformatics. In practice bioinformatics pipelines tend to be bundles of loosely organised python scripts and
by haxiomic 7y ago
I think there's lot of room to improve tools in bioinformatics. In practice bioinformatics pipelines tend to be bundles of loosely organised python scripts and I've heard files on the order of a few GB described as Big Data because the processing times are so slow (days for stuff that could take milliseconds)
It would help to pair up with practicing scientists and explore what parts of their workflow can be improved
- danielecook 7y agoDefinitely. A lot of work is done in R or python and could be sped up in a compiled language.
- panta 7y agoYes. I’m not a scientist, but I think if there were good compiled python/R alternatives, the scientific world would benefit greatly, if not only for the reduced waiting times... Maybe a language with Go simplicity and speed and Python ease of use and appeal... It should have an almost real-time compile mode (with very little optimization) to enable interactive playgrounds, like Jupyter. Of course it’d need also strong optimization modes for final production code.