Author

S. Baehr

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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Evolutionary Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Assay:bulk RNA-seq· 1 Assay:DNA methylation· 1 Organism:E. coli· 1 Research Focus:gene regulatory network inference· 1 Organism:multiple species· 1 Research Focus:variant calling· 1

Frequent Co-Authors

M. Lynch· 2 shared A. Brown· 1 shared A. Cenzano· 1 shared C. Pikaard· 1 shared D. Brister· 1 shared J.-F. Gout· 1 shared K. Hancock· 1 shared L. Patrick· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersMicrobiology

M. Lynch

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Consideration of a liquid mutation accumulation experiment to measure mutation rates by successive serial dilution.

S. Baehr, W.-C. Ho, S. Perez, A. Cenzano, K. Hancock, L. Patrick, A. Brown, S. MIller, M. Lynch

The paper proposes a liquid-phase mutation-accumulation experiment to measure mutation rates and spectra, demonstrating it can replicate results from plate-based experiments and detect a modified mutation spectrum.

bioRxiv · Aug 31, 2023Microbiology

A Narrow Range of Transcript-error Rates Across the Tree of Life

W. Li, S. Baehr, M. Marasco, L. Reyes, D. Brister, C. Pikaard, J.-F. Gout, M. Vermulst, M. Lynch

The paper analyzes transcript-error rates across diverse species, finding a narrow range and suggesting mechanisms for error purging, but the model explains only 20% of the variation.

bioRxiv · May 2, 2023Evolutionary Biology