radEmu is here! ❤️🐦📈🔥 The StatDivLab's best differential abundance method yet!

RT @AstrobioMike: No only is this being led by some incredible people, but anvio is a super-empowering platform for microbialomics! If this…

@NatureMicrobiol @peixotors Want to read it but it's behind a paywall? The Nature Comms version is open-access:

RT @dwallacewells: “We are on the brink of an irreversible climate disaster. This is a global emergency beyond any doubt. Much of the very…

@gibbological Seconded 👯😹

@DannyKodicek @loafingcactus @sarahmhird Helpful! It took me too long to figure out that step 3 = "subtract Step 1 from Step 2". I'll use this next time I'm attempting to recover counts from proportions. But authors, just give me your counts! I can transform them to proportions myself if needed :)

@Jonathanthdk Fantastic qtn, @Jonathanthdk ! No, the effect sizes are not adjusted for other taxa abundances. The parameter interpretation is a log-fold diff in abundance across samples differing in one sample variable but similar wrt other sample variables. Lmk if you have more qtns

@CausalKathy Wow, that’s nuts. cc @scotty_h_q

If you’re working with the computational expense of a really large/diverse dataset, please let us know, too. The StatDivLab chooses what to work on based on *your* feedback — this is especially true for documentation — so if it’s all working great, you can let us know, too 🥳

@Zach_Burcham @gibbological @davidandacat @sarah_teichman @bejcal @mikemc423 Thank you, Zach!!! We will welcome your feedback!

@KarthikGeomicro @TheaWhitman @AnantharamanLab and I wish I could apply!

@Daniel_R_Kowal I'll be there!

@ShenRaphael Just read the abstract & this looks cool! I'll plan to be there, @ShenRaphael!

(Bonus points if you didn’t make your slides in Beamer)

RT @FelisGiovanna: If you are a microbiologist or have an interest in microbes, please spend 10 minutes of your time to share with us some…