"To find diverse CRISPR systems in nature, Zhang, MIT bioengineer Han Altae-Tran and their colleagues developed an algorithm called FLSHclust, which analyses genetic sequences in public databases. These databases contain hundreds of thousands of genomes from bacteria and archaea, hundreds of millions of sequences that haven’t been linked to a particular species and billions of genes that encode proteins. FLSHclust found CRISPR-associated genes by looking for similarities between genetic sequences and grouping them into about 500 million clusters."
Links for learning about:
genetic drift vs flow vs natural selection vs natural alike crispr vs other mechanisms varieties: occurrences, detections, analysis, & understanding?
@teixi I'm not sure if this primer on drift is too technical or not, but at least it's OA
https://www.cell.com/current-biology/pdf/S0960-9822(11)00882-7.pdf
@cyrilpedia
The paper linked from your post article goes into much expert bio comp stats, can't get into !
https://www.science.org/doi/10.1126/science.adi1910
Yet these 2 pages on genetic drift vs natural selection; theories, differences, & testability:
cool learning resource to me!
Ty T!!!