Author

Ryan N Gutenkunst

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 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:human· 2 Research Focus:chromatin & epigenetic regulation· 1 Organism:Drosophila· 1 Research Focus:phylogenetics / evolution· 1 Research Focus:protein folding & dynamics· 1 Assay:proteomics· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

PingHsun Hsieh· 2 shared Aaron P Ragsdale· 1 shared Alec J Coffman· 1 shared Brian K Mannakee· 1 shared Jeffrey D Wall· 1 shared Joseph Lachance· 1 shared Krishna R Veeramah· 1 shared Michael F Hammer· 1 shared

Activity by Year

2015-2015 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersEvolutionary Biology

PingHsun Hsieh

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3 papers

Recent·Most cited

Inferring the correlated fitness effects of nonsynonymous mutations at the same site using triallelic population genomics

Aaron P Ragsdale, Alec J Coffman, PingHsun Hsieh, Travis J Struck, Ryan N Gutenkunst

This study introduces a model to infer correlated fitness effects of nonsynonymous mutations at the same site using triallelic population genomics in D. melanogaster.

bioRxiv · Oct 21, 2015Evolutionary Biology

Selection on network dynamics drives differential rates of protein domain evolution

Brian K Mannakee, Ryan N Gutenkunst

The paper shows that dynamical influence of protein domains on network dynamics predicts evolutionary rates in vertebrates and yeast, beyond traditional factors.

bioRxiv · Sep 11, 2015Evolutionary Biology

Whole genome sequence analyses of Western Central African Pygmy hunter-gatherers reveal a complex demographic history and identify candidate genes under positive natural selection

PingHsun Hsieh, Krishna R Veeramah, Joseph Lachance, Sarah A Tishkoff, Jeffrey D Wall, Michael F Hammer, Ryan N Gutenkunst

The paper analyzes whole-genome sequences of Pygmy hunter-gatherers to uncover demographic history and identify genes under positive selection.

bioRxiv · Jul 8, 2015Genomics