Implementation of algorithms varies a lot depending on how experienced/efficient the programmer is. I think the bigger picture is what the seq language tries to solve. the comment by the author of the seq paper on the article makes this more clear
I think the main benefit comes from our higher-level constructs/optimizations like pipelining, prefetching or inter sequence alignment, which are difficult to replicate in a library. And we’re just at the tip of the iceberg here – there’s a lot more we’re excitied about exploring, including different backends like GPU/FPGA. One of the reasons we built Seq was to be able to explore these kinds of things in a systematic way, and I think that’s where the value is
I’m not in that field, but wow, that’s a devastating response. I guess this competition is good for bioinformatics, though?
Implementation of algorithms varies a lot depending on how experienced/efficient the programmer is. I think the bigger picture is what the seq language tries to solve. the comment by the author of the seq paper on the article makes this more clear