Author

N. Brandt

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· 3 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Assay:whole-genome sequencing· 2 Organism:yeast· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:host-pathogen & immune response· 1 Assay:imaging· 1

Frequent Co-Authors

D. Gresham· 2 shared G. Avecilla· 2 shared B. Fabian· 1 shared C. Smukowski Heil· 1 shared C. Tempra· 1 shared E. J. Schwarzkopf· 1 shared F. Abdul-Rahman· 1 shared G. Sethia· 1 shared

Activity by Year

2018-2024 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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2 shared papersEvolutionary Biology

D. Gresham

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Author profile →

4 papers

Recent·Most cited

Template switching during DNA replication is a prevalent source of adaptive gene amplification

J. Chuong, N. Ben Nun, I. Suresh, J. Matthews, T. De, G. Avecilla, F. Abdul-Rahman, N. Brandt, Y. Ram, D. Gresham

The paper investigates how genomic architecture influences the formation and fitness of adaptive copy number variants (CNVs) in yeast, finding that template switching during DNA replication is a common mechanism for CNV generation.

bioRxiv · May 3, 2024Evolutionary Biology

A comparison of lipid diffusive dynamics in monolayers and bilayers in the context of interleaflet coupling

T. Mandal, N. Brandt, C. Tempra, M. Javanainen, B. Fabian, S. Chiantia

This study compares lipid diffusive dynamics in monolayers and bilayers to understand interleaflet coupling mechanisms.

bioRxiv · Apr 26, 2024Biophysics

The recombination landscape of introgression in yeast

E. J. Schwarzkopf, N. Brandt, C. Smukowski Heil

This study examines how introgression affects recombination patterns in yeast by analyzing crossover and non-crossover rates in crosses with and without introgression.

bioRxiv · Jan 4, 2024Evolutionary Biology

Single-cell copy number variant detection reveals the dynamics and diversity of adaptation

S. Lauer, G. Avecilla, P. Spealman, G. Sethia, N. Brandt, S. Levy, D. Gresham

This study detects single-cell copy number variants (CNVs) in evolving populations and identifies ODIRA as a common mechanism for gene amplification.

bioRxiv · Jul 31, 2018Evolutionary Biology