Nicole Brown gave a fantastic talk on Identifying introgressions across pangenomes with Panagram

It uses k-mer conservation to annotate genomic variation across hundreds of genomes, followed by normalization of k-mer profiles to identify introgression events
github.com/kjenike/pana... #GI2025

Fantastic talk by @vikramshivakumar.bsky.social Mumemto—Scalable multi-MUM finding for pangenomes
Papers biorxiv.org/content/10.1101/2025.05.20.654611 & doi.org/10.1186/s13059-025-03644-0
Code: github.com/vikshiv/mume...
Very efficient pangenome visualization tool, revealing synteny and variations!

Now this, undergrads, is how you cold email a professor.

If that’s not enough, we threw in a complete, T2T giraffe genome! Giraffe genomes are pretty cool. Almost all of their chromosomes are Robertsonian fusions of the typically telocentric ruminant chromosomes. 🐄 vs. 🦒...

10/10 tool name 👌

Not saying I agree either way, but one pro for text-based file formats are less dependencies needed for viewing files

This is so amazing, thank you!

And of course, the poster itself:

We've released a new version (v1.3) of Mumemto (github.com/vikshiv/mume...) that implements merging. Running Mumemto in merge-mode makes the output set of multi-MUMs dynamic, so adding new assemblies is as easy as computing a new set of MUMs and merging them in.

We can also merge along the shape of a phylogenetic tree, finding clade-specific variation and conserved elements. Previously, adding new assemblies can lose MUMs, which must be present across the whole collection. Now we can find MUMs that reveal local variation distinct to specific subgroups. 3/n

We implement two partition/merge algorithms that can merge multi-MUMs between datasets. This makes Mumemto highly parallelizable, but also very memory efficient if partitions are computed in serial. 2/n