Author

E. Ganda

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· 4

Signature Assays, Organisms & Methods

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Assay:metagenomics· 4 Approach:statistical model· 3 Approach:experimental assay· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Organism:chicken / avian· 1 Research Focus:differential expression· 1 Research Focus:ecology & biodiversity· 1

Frequent Co-Authors

E. Van Syoc· 2 shared M. Wiedmann· 2 shared A. Agarwal· 1 shared A. Ali· 1 shared A. D. Patterson· 1 shared A. Rahman· 1 shared A. Siddique· 1 shared A.-P. Carrieri· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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2 shared papersMicrobiology

E. Van Syoc

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Indigenous probiotics Lactobacillus reuteri and Enterococcus faecium exhibit positive growth performance and disease prevention against extended-spectrum cephalosporin and fluoroquinolones resistant Salmonella enterica in broiler chicks.

A. Siddique, R. Ali, A. Ali, S. Andleeb, N. Ullah, M. Mohiuddin, S. Akbar, M. Imran, E. Van Syoc, M. Yue, E. Ganda, A. Rahman

This study shows that indigenous probiotics Lactobacillus reuteri and Enterococcus faecium improve growth and reduce Salmonella infection in broiler chicks compared to commercial probiotics.

bioRxiv · Jul 10, 2023 · PreprintMicrobiology

Changes in the Type 2 diabetes gut mycobiome associate with metformin treatment across populations

E. Van Syoc, M. P. Nixon, J. D. Silverman, Y. Luo, F. J. Gonzalez, I. Elbere, J. Klovins, A. D. Patterson, C. J. Rogers, E. Ganda

This study identifies metformin and T2D as factors influencing gut fungal communities across human populations.

bioRxiv · May 25, 2023 · PreprintMicrobiology

Development and evaluation of statistical and Artificial Intelligence approaches with microbial shotgun metagenomics data as an untargeted screening tool for use in food production

K. L. Beck, N. Haiminen, A. Agarwal, A.-P. Carrieri, M. Madgwick, J. Kelly, V. Pylro, B. Kawas, M. Wiedmann, E. Ganda

This study evaluates AI and statistical methods on microbial shotgun metagenomics data to detect anomalies in fluid milk, showing explainable AI can classify anomalous samples and identify microbial drivers.

bioRxiv · Aug 16, 2022Microbiology

Complex interactions between weather, and microbial and physiochemical water quality impact the likelihood of detecting foodborne pathogens in agricultural water

D. L. Weller, N. Brassill, C. Rock, R. Ivanek, E. Mudrak, S. Roof, E. Ganda, M. Wiedmann

This study examines how environmental factors and microbial indicators influence pathogen detection in agricultural water, finding that E. coli levels alone are not sufficient to predict food safety risks.

bioRxiv · Jan 2, 2020Microbiology