Author

J. Pandhal

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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Assay:metagenomics· 2 Approach:statistical model· 2 Organism:bacteria (other)· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1 Organism:plant (other)· 1

Frequent Co-Authors

A. Beckerman· 1 shared A. Bottrill· 1 shared A. Goodall· 1 shared A. M. E. Jones· 1 shared A. Murphy· 1 shared C. Borsetto· 1 shared C. Quince· 1 shared D. Scanlan· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperMicrobiology

A. Beckerman

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Meta-exoproteomics identifies active plant-microbe interactions operating in the rhizosphere

I. D. E. A. Lidbury, S. Raguideau, S. Lui, A. Murphy, R. Stark, C. Borsetto, T. Fraser, A. Goodall, A. Bottrill, A. M. E. Jones, G. Bending, M. Tibbett, J. Hammond, C. Quince, D. Scanlan, , E. Wellington

This study uses meta-exoproteomics to identify active plant-microbe interactions in the rhizosphere of Brassica spp., revealing metabolic shifts linked to plant growth.

bioRxiv · Sep 1, 2021 · PreprintMicrobiology

Designing synthetic bacterial consortia for landfill leachate treatment based on community matrices and regression tree analysis

G. Hardo, E. Karunakaran, N. Couto, A. Beckerman, J. Pandhal

This paper develops a workflow to design synthetic bacterial consortia for landfill leachate treatment by analyzing growth interactions using factorial experiments and regression tree analysis.

bioRxiv · Feb 8, 2019 · PreprintMicrobiology