Author

G. Green

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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Cell Biology· 1 Microbiology· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Approach:experimental assay· 2 Research Focus:cell type annotation· 1 Organism:human· 1 Assay:metagenomics· 1 Organism:mouse· 1 Organism:plant (other)· 1 Assay:proteomics· 1

Frequent Co-Authors

A. J. Green· 1 shared A. Milgate· 1 shared A. Soldatos· 1 shared B. D. O'Donovan· 1 shared B. J. Brew· 1 shared B. Schwessinger· 1 shared C. A. Jay· 1 shared C. Bryson-Cahn· 1 shared

Activity by Year

2017-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperMicrobiology

A. J. Green

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Telomere Dysfunction Drives Chronic Lung Allograft Dysfunction Pathology

R. P. Naikawadi, G. Green, K. D. Jones, N. Achtar-Zadeh, J. E. Mieleszko, J. Kukreja, J. Greenland, P. J. Wolters

This study shows that telomere dysfunction in club cells causes lung remodeling and fibrosis similar to chronic lung allograft dysfunction in humans.

bioRxiv · Aug 28, 2019 · PreprintCell Biology

Pathogen Detection and Microbiome Analysis of Infected Wheat Using a Portable DNA Sequencer

Y. Hu, G. Green, A. Milgate, E. Stone, J. Rathjen, B. Schwessinger

The paper uses whole genome sequencing on a portable device to detect fungal pathogens and associated microbes in infected wheat, showing its effectiveness for diagnosing specific diseases.

bioRxiv · Jan 15, 2019Plant Biology

Metagenomics for chronic meningitis: clarifying interpretation and diagnosis

M. R. Wilson, B. D. O'Donovan, J. M. Gelfand, H. A. Sample, F. C. Chow, J. P. Betjemann, M. P. Shah, M. B. Richie, M. P. Gorman, R. A. Hajj-Ali, L. H. Calabrese, K. C. Zorn, J. E. Greenlee, J. H. Blum, G. Green, , J. L. DeRisi

This study uses metagenomic next-generation sequencing of cerebrospinal fluid to identify pathogens in patients with subacute or chronic meningitis, using a z-score based scoring algorithm to distinguish true pathogens from environmental contaminants.

bioRxiv · Nov 7, 2017Microbiology