📢New paper out in @mSystemsJ, coauthored w/ the amazing @MeghanAzad!
Inspired by community #ecology theory and computational #microbiome methods, we propose a novel strategy for studying #humanmilk.

journals.asm.org/doi/10.1128/ms… We focused on 3 major barriers to understanding #breastmilk
1⃣Milk contains thousands of components, yet most studies analyze just one or a few
2⃣Milk changes over time, yet longitudinal studies are rare
3⃣We lack computational tools & methods to study milk as a complex SYSTEM

We did it, @DaveZeevi! Our paper is now published in @ScienceMagazine! science.sciencemag.org/content/370/65…
We present a data-driven, computational perspective on how selective pressures resulting from nutrient limitation shape microbial coding sequences. Thread below: We study ‘resource-driven’ selection using metagenomic and single-cell data of marine microbes, while adopting concepts common in statistical genetics like linear mixed models with variance components.

Our paper on Compositional Tensor Factorization (CTF) of microbial dynamics is now published in @NatureBiotech! nature.com/articles/s4158…
It might change how you analyze longitudinal microbiome data. Thread below: This work was a great collaboration and fun with
@cameronmartino and @lisa55asil, George Armstrong, @mcdonadt, @yoshikivb, @jamietmorton, Lingjing Jiang, Maria Gloria Dominguez-Bello,@CMI_Austin, @halperineran, @KnightLabNews. Thank you!!