Amy D Willis
@amydwillis.bsky.social did:plc:vdrpi3cx2tacjdfugmvav3ez
Biodiversity-loving, error bar-needing statistics nerd; Associate Professor @UWBiostat. Methods & software for #microbiome & #biodiversity data. She/her.
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Amy D Willis (@amydwillis.bsky.social) est sur Bluesky depuis le 2 octobre 2023. Le compte a 630 abonnés, suit 134 comptes et a publié 101 posts.
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My pleasure. Trees based on sequence alignments will show the effects of differences in sequence, but need interpretation to use that for evolutionary conclusions. Bootstrapping analysis just says something about the tree construction process, and how reliable the branching is. A bit like p-values!
Voir le postAnd like p-values, bootstrapping values are expected, whether useful or not 😉
Voir le postIt's out! Excited to present the Great Barrier Reef Microbial Genomes Database (GBR-MGD), a comprehensive DB of 1000s of high-quality prokaryote, virus, plasmid, and chromosome-level eukaryote MAGs using Nanopore long reads. Subthreads incoming. Please share widely. 🙂 www.nature.com/articles/s41...
Voir le postthat the bootstrap values or posteriors are of much interest for such data in any case. In the BEST case scenario they reflect uncertainty due only to the data being a finite sample under the assumption that ALL assumptions the model makes are true.
Voir le postIt depends very much how they did the bootstrapping. If done with MEGA, not much, as that is a "cheating" way of fast bootstrapping. Did they do bootstrapping (replacement) or jackknifing (deletion)? But it say mostly something about the alignments, treeing algorithm and topology, not evolution.
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