activity
20062026
most citedInferring the joint demographic history of multiple populations from multidimensional SNP frequency data

2.2k citations · 4k across the 13 of their papers we have counts for

collaborators

13 papers

q-bio.PE2026

Two blind spots in the demographic inference of human origins from genomic data

Ryan N Gutenkunst

Ancient DNA and new inference methods have transformed the study of human origins, but consensus has not followed. Evidence increasingly indicates that hominin populations were per…

q-bio.PE2013★ 69 cited

Effect of Dedifferentiation on Time to Mutation Acquisition in Stem Cell-Driven Cancers

Alexandra Jilkine, Ryan N. Gutenkunst

Accumulating evidence suggests that many tumors have a hierarchical organization, with the bulk of the tumor composed of relatively differentiated short-lived progenitor cells that…

q-bio.CB2010★ 5 cited

A biophysical model of cell adhesion mediated by immunoadhesin drugs and antibodies

Ryan N. Gutenkunst, Daniel Coombs, Toby Star +2

A promising direction in drug development is to exploit the ability of natural killer cells to kill antibody-labeled target cells. Monoclonal antibodies and drugs designed to elici…

q-bio.PE2009★ 1 cited

Proteins with greater influence on network dynamics evolve more slowly but are not more essential

Ryan N. Gutenkunst

A fundamental question for evolutionary biology is why rates of evolution vary dramatically between proteins. Perhaps surprisingly, it is controversial how much a protein's functio…

q-bio.PE2009★ 2.2k cited

Inferring the joint demographic history of multiple populations from multidimensional SNP frequency data

Ryan N. Gutenkunst, Ryan D. Hernandez, Scott H. Williamson +1

Demographic models built from genetic data play important roles in illuminating prehistorical events and serving as null models in genome scans for selection. We introduce an infer…

q-bio.QM2008★ 194 cited

Sloppiness, robustness, and evolvability in systems biology

Bryan C. Daniels, Yan-Jiun Chen, James P. Sethna +2

The functioning of many biochemical networks is often robust -- remarkably stable under changes in external conditions and internal reaction parameters. Much recent work on robustn…