Interpreting tree ensemble machine learning models with endoR. Ruaud A, Pfister N, Ley RE, Youngblut ND. PLoS Computational Biology. 18(12):e1010714. (2022). DOI: https://doi.org/10.1371/journal.pcbi.1010714
Codiversification of gut microbiota with humans. Suzuki TA, Fitzstevens JL, Schmidt VT, Enav H, Huus KE, Mbong Ngwese M, Grießhammer A, Pfleiderer A, Adegbite BR, Zinsou JF, Esen M, Velavan TP, Adegnika AA, Song LH, Spector TD, Muehlbauer AL, Marchi N, Kang H, Maier L, Blekhman R, Ségurel L, Ko G, Youngblut ND, Kremsner P, Ley RE. Science. 16;377(6612):1328-1332. (2022). DOI: https://doi.org/10.1126/science.abm7759
Characterization of inositol lipid metabolism in gut-associated Bacteroidetes. Heaver, S. L., H H. Le, P. Tang, A. Baslé, C. Mirretta Barone, D. Long Vu, J. L. Waters, J. Marles-Wright, E. L. Johnson, D. J. Campopiano & R. E. Ley. Nature Microbiology. 7:986–1000. (2022). DOI: https://doi.org/10.1038/s41564-022-01152-6
The developing infant gut microbiome: A strain-level view. Enav H, Bäckhed F, Ley RE. Cell Host & Microbe. 30(5). (2022). DOI: https://doi.org/10.1016/j.chom.2022.04.009
Microbiome engineering: Taming the untractable. Marsh JW and RE Ley. Cell. 185(3):416-418. (2022). DOI: https://doi.org/10.1016/j.cell.2021.12.034
Incorporating genome-based phylogeny and functional similarity into diversity assessments helps to resolve a global collection of human gut metagenomes. Youngblut ND, de la Cuesta-Zuluaga J and Ley RE. Environmental Microbiology. 24(9):3966-3984. (2022). DOI: https://doi.org/10.1111/1462-2920.15910
Microbes set the (woodrat) menu: Host genetics control diet-specific gut microbes. Suzuki TA and Ley RE. Proceedings of the National Academy of Sciences, USA. 119(2):e2120125118. (2022). DOI: https://doi.org/10.1073/pnas.2120125118
