Do you mean it could be faster to analyze sequences using models rather than scrolling through them on a laptop? Yes, we could get some broad strokes of what's

Do you mean it could be faster to analyze sequences using models rather than scrolling through them on a laptop? Yes, we could get some broad strokes of what's present by using analytical tools, and we do. A lot of our researchers use R and Python to write simple tools to find patterns and perform simple aggregations. We're in the process of discovering how AI can assist us, and we've had plenty of success in creating models to aid with processing and detecting things like mussel and kelp beds in aerial imagery (drone, plane, and satellite), but I suspect in this case the data can't actually tell the full story to begin with so what we're actually looking for is more like clues, not answers. When answers are present, we tend to be simply presenting findings like which organisms were present and, to some extent, their apparent population density. This is really easy to do without AI. Some models might find interesting patterns, but it's hard to tell which ones or why, or how we'd train that ourselves. It's an interesting question. I work on the genomics team so it's something I should be actively considering. The work is certainly more manual than it needs to be, so there's work to be done here for sure.