From past work experience & funding source priorities, computational genomics usually considered a supporting role as information analyst when needs to be a res

From past work experience & funding source priorities, computational genomics usually considered a supporting role as information analyst when needs to be a research software engineer. (unless building software for ct, mri, x-ray scanning process). aka need to be able to develop the dna / dna number system equivalent of things (aka something other than binary / punch card block based number system) such as: treesitter nyquest : https://en.wikipedia.org/wiki/Nyquist_(programming_language) slippery chicken : https://ccrma.stanford.edu/workshops/algorithmic-composition-with-slippery-chicken but wind up doing the equivalent of automated statistical analysis, because focus is NOT to develop software package/system. short broader subject take, what programming groups dont get about applicative programming vs. algol/block programming