Author

J. E. Prenni

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 2

Signature Assays, Organisms & Methods

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Organism:plant (other)· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Assay:metagenomics· 1 Approach:statistical model· 1

Frequent Co-Authors

A. M. Sheflin· 2 shared D. P. Schachtman· 2 shared E. Goren· 2 shared P. Liu· 2 shared S. Tringe· 2 shared C. Wang· 1 shared D. Chiniquy· 1 shared Y. N. Chai· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersMicrobiology

A. M. Sheflin

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2 papers

Recent·Most cited

Root associated bacterial communities and root metabolite composition are linked to nitrogen use efficiency in sorghum

Y. N. Chai, Y. Qi, E. Goren, A. M. Sheflin, S. Tringe, J. E. Prenni, P. Liu, D. P. Schachtman

This study links root-associated bacterial communities and root metabolite composition to nitrogen use efficiency in sorghum under different nitrogen conditions.

bioRxiv · Feb 8, 2023Microbiology

Feature selection and causal analysis for microbiome studies in the presence of confounding using standardization

E. Goren, C. Wang, Z. He, A. M. Sheflin, D. Chiniquy, J. E. Prenni, S. Tringe, D. P. Schachtman, P. Liu

This paper introduces a method to identify microbiome features affecting outcomes while controlling for confounding variables, showing improved accuracy in agricultural microbiome studies.

bioRxiv · Aug 9, 2020Microbiology