Author

G. Brennan

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 Ecology· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Assay:DNA methylation· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1

Frequent Co-Authors

S. Rothenburg· 3 shared S. L. Haller· 2 shared A. Iles· 1 shared A. M. M. Stoian· 1 shared A. P. Geballe· 1 shared A. Tabi· 1 shared B. Matthews· 1 shared B. Rall· 1 shared

Activity by Year

2018-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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Curved chords = mutual co-authorship

3 shared papersMicrobiology

S. Rothenburg

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Gene amplification acts as a molecular foothold to facilitate cross-species adaptation and evasion of multiple antiviral pathways

S. Banerjee, C. Smith, A. P. Geballe, S. Rothenburg, J. O. Kitzman, G. Brennan

This study shows gene amplification helps a virus adapt to new species by overcoming antiviral defenses.

bioRxiv · Jun 6, 2022Evolutionary Biology

LINE-1 retrotransposons facilitate horizontal gene transfer into poxviruses

M. J. Rahman, S. L. Haller, A. M. M. Stoian, J. Li, G. Brennan, S. Rothenburg

This study identifies LINE-1 retrotransposons as mediators of horizontal gene transfer into poxviruses, showing their role in gene integration and viral adaptation.

bioRxiv · Oct 26, 2020 · PreprintMicrobiology

Rapid, seamless generation of recombinant poxviruses using host-range and visual selection

S. Vipat, G. Brennan, S. L. Haller, S. Rothenburg

The paper introduces a method for rapidly generating recombinant vaccinia viruses using host-range selection and visual identification.

bioRxiv · Nov 27, 2018Microbiology

The intrinsic predictability of ecological time series and its potential to guide forecasting

F. Pennekamp, A. Iles, J. Garland, G. Brennan, U. Brose, U. Gaedke, U. Jacob, P. Kratina, B. Matthews, S. Munch, M. Novak, G. M. Palamara, B. Rall, B. Rosenbaum, A. Tabi, , O. Petchey

The paper quantifies intrinsic predictability of ecological time series using permutation entropy and shows its relationship with model forecasting error.

bioRxiv · Jun 19, 2018Ecology