Author

Y. Begum

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 Biochemistry· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Assay:metagenomics· 2 Organism:bacteria (other)· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

A. I. Khan· 2 shared B. J. Shapiro· 2 shared F. Qadri· 2 shared A. A. Weil· 1 shared A. Creasy-Marrazzo· 1 shared A. Cuenod· 1 shared A. Shome· 1 shared A. Sultana· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersMicrobiology

A. I. Khan

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Phage predation, disease severity and pathogen genetic diversity in cholera patients

N. Madi, E. T. Cato, M. A. Sayeed, A. Creasy-Marrazzo, A. Cuenod, K. Islam, M. I. U. Khabir, M. T. R. Bhuiyan, Y. Begum, E. Freeman, A. Vustepalli, L. Brinkley, M. Kamat, L. S. Bailey, K. B. Basso, , E. J. Nelson

A study of cholera patients in Bangladesh identifies phage predation as a biomarker of disease severity and driver of coevolution within patients.

bioRxiv · Jun 14, 2023Microbiology

Optimization of conditions for conjugation of outer membrane vesicles of Salmonella Typhimurium with oral delivery systems using response surface method

A. Sultana, R. Nath, S. Tamuly, Y. Begum, J. S. Boruah, A. Shome, D. Chowdhury, S. S. Deka, D. J. Kalita

The paper optimizes conjugation conditions for Salmonella Typhimurium OMVs with delivery systems to maximize entrapment efficiency using response surface methodology.

bioRxiv · Feb 14, 2022 · PreprintBiochemistry

Predicting Vibrio cholerae infection and disease severity using metagenomics in a prospective cohort study

I. Levade, M. M. Saber, F. S. Midani, F. Chowdhury, A. I. Khan, Y. Begum, E. T. Ryan, L. A. David, S. B. Calderwood, J. B. Harris, R. C. LaRocque, F. Qadri, B. J. Shapiro, A. A. Weil

This study uses metagenomic sequencing to predict cholera infection and disease severity in a cohort, identifying protective bacterial species and genes.

bioRxiv · Feb 25, 2020Microbiology