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Plant pan-genomes are the new trend! This is now possible becuz of reduced seq cost, long reads, better algorithms, and the need to understand within-species diversity. A quick thread 1/4
All pub find courtesy of @phototrophic https://www.nature.com/articles/s41477-020-0733-0
All pub find courtesy of @phototrophic https://www.nature.com/articles/s41477-020-0733-0
This coming off the heels of a 28 soy bean line done w @PacBio that revealed a huge amount of novel SVs 2/4 https://twitter.com/Magdoll/status/1276626048994521088?s=20
However a legit #Bioinformatics question is how to process pan-genomes? (a) de novo assemble or (b) "map-to-pan". This Pangenome ebook (p.297) argues map-to-pan is a better strategy. https://www.springer.com/gp/book/9783030382803
Another great #Bioinformatics challenge is storage and visualization of the pangenomes! minigraph is one attempt to tackle that challenge 4/4 https://twitter.com/lh3lh3/status/1239356954079789056?s=20
