Author

P. Dobrynin

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· 2

Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:comparative / phylogenetic analysis· 1 Research Focus:database / resource· 1 Approach:genetic perturbation / CRISPR· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

K.-P. Koepfli· 2 shared A. Blazyte· 1 shared A. Tomarovsky· 1 shared A. Totikov· 1 shared D. A. Duchene· 1 shared D. Meneghini· 1 shared D. W. Förster· 1 shared E. Noskova· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersEvolutionary Biology

K.-P. Koepfli

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2 papers

Recent·Most cited

Multiple types of genomic variation contribute to adaptive traits in the mustelid subfamily Guloninae

L. Derezanin, A. Blazyte, P. Dobrynin, D. A. Duchene, J. H. Grau, S. Jeon, S. Kliver, K.-P. Koepfli, D. Meneghini, M. Preick, A. Tomarovsky, A. Totikov, J. Fickel, D. W. Förster

The paper identifies candidate loci associated with adaptive traits in mustelids by analyzing genomic variation across species.

Molecular Ecology · Apr 5, 2022Peer-reviewedEvolutionary Biology

GADMA: Genetic algorithm for inferring demographic history of multiple populations from allele frequency spectrum data

E. Noskova, V. Ulyantsev, K.-P. Koepfli, S. J. O'Brien, P. Dobrynin

GADMA uses a genetic algorithm to infer demographic history from joint allele frequency spectra, outperforming manual methods and finding multiple local optima.

bioRxiv · Jan 11, 2019Evolutionary Biology