Elhanan Borenstein
Affiliations: | Genome Sciences | University of Washington, Seattle, Seattle, WA |
Area:
Genetics, Microbiology Biology, Systematic BiologyGoogle:
"Elhanan Borenstein"
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Noecker C, Eng A, Muller E, et al. (2022) MIMOSA2: A metabolic network-based tool for inferring mechanism-supported relationships in microbiome-metabolome data. Bioinformatics (Oxford, England) |
Shouval R, Eshel A, Dubovski B, et al. (2020) Patterns of salivary microbiota injury and oral mucositis in recipients of allogeneic hematopoietic stem cell transplantation. Blood Advances. 4: 2912-2917 |
Noecker C, Chiu HC, McNally CP, et al. (2019) Defining and Evaluating Microbial Contributions to Metabolite Variation in Microbiome-Metabolome Association Studies. Msystems. 4 |
Ross BD, Verster AJ, Radey MC, et al. (2019) Human gut bacteria contain acquired interbacterial defence systems. Nature |
Sharon G, Cruz NJ, Kang DW, et al. (2019) Human Gut Microbiota from Autism Spectrum Disorder Promote Behavioral Symptoms in Mice. Cell. 177: 1600-1618.e17 |
Eng A, Borenstein E. (2019) Microbial community design: methods, applications, and opportunities. Current Opinion in Biotechnology. 58: 117-128 |
Nelson MT, Pope CE, Marsh RL, et al. (2019) Human and Extracellular DNA Depletion for Metagenomic Analysis of Complex Clinical Infection Samples Yields Optimized Viable Microbiome Profiles. Cell Reports. 26: 2227-2240.e5 |
Verster AJ, Borenstein E. (2018) Competitive lottery-based assembly of selected clades in the human gut microbiome. Microbiome. 6: 186 |
McNally CP, Borenstein E. (2018) Metabolic model-based analysis of the emergence of bacterial cross-feeding via extensive gene loss. Bmc Systems Biology. 12: 69 |
Rebollar EA, Gutiérrez-Preciado A, Noecker C, et al. (2018) The Skin Microbiome of the Neotropical Frog: Inferring Potential Bacterial-Host-Pathogen Interactions From Metagenomic Data. Frontiers in Microbiology. 9: 466 |