Author

D. M. Gohl

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· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Assay:bulk RNA-seq· 1 Research Focus:gene regulatory network inference· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

A. C. Nelson· 1 shared A. D. Baughn· 1 shared B. Auch· 1 shared D. Johnson· 1 shared E. J. Fay· 1 shared F. Maruyama· 1 shared J. Daniel· 1 shared J. K. Fiege· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperPathology

A. C. Nelson

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Author profile →

2 papers

Recent·Most cited

Analytical Validation of a COVID-19 qRT-PCR Detection Assay Using a 384-well Format and Three Extraction Methods

A. C. Nelson, B. Auch, M. Schomaker, D. M. Gohl, P. Grady, D. Johnson, R. Kincaid, K. E. Karnuth, J. Daniel, J. K. Fiege, E. J. Fay, T. Bold, R. A. Langlois, K. B. Beckman, S. Yohe

This study validates a qRT-PCR assay for SARS-CoV-2 detection using a 384-well format and three extraction methods, showing robust accuracy and sensitivity with commercial reagents.

bioRxiv · Apr 2, 2020 · PreprintPathology

Genome-wide assessment of Mycobacterium tuberculosis conditionally essential metabolic pathways

Y. Minato, D. M. Gohl, J. M. Thiede, J. M. Chacon, W. R. Harcombe, F. Maruyama, A. D. Baughn

This study identifies conditionally essential metabolic pathways in Mycobacterium tuberculosis using Tn-seq and in silico models, revealing gaps in current knowledge of its metabolic capabilities.

bioRxiv · May 14, 2019 · PreprintMicrobiology