[kzuberi]

The choice of Go for this is interesting. Having worked with Python & BioPython for bioinformatics problems I've found that there was a good deal of complexity around eking out performance (Cython, C++ extensions, Numba and so on) and also around distributing the tools (e.g. conda packaging). I've been wondering if Go would provide a reasonable middle ground in performance and ease of use between Python and C++ here. I'm not actually convinced yet but think its worth exploring. Noticed there's a BioGo project that's been around for a while, not sure of its uptake. Probably figuring out how well Go works for this domain will be a hobby project for me this year.

[koeng]

It’s been worth it for me so far. Anyway, the language is easy, so you can learn it pretty quickly and evaluate for yourself