The evolutionary cost of homophily: Social stratification facilitates stable variant coexistence and increased rates of evolution in host-associated pathogens.

Autor: Li S; Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America., Gulisija D; Department of Biology, University of New Mexico, Albuquerque, New Mexico, United States of America., Carja O; Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.

Publikováno v: PLoS computational biology [PLoS Comput Biol] 2024 Nov 22; Vol. 20 (11), pp. e1012619. Date of Electronic Publication: 2024 Nov 22 (Print Publication: 2024).

The new society for modeling and theory in population biology.

Autor: Greenbaum G; Department of Ecology, Evolution and Behavior, The Hebrew University of Jerusalem, Jerusalem, Israel. Electronic address: gili.greenbaum@gmail.com., Carja O; Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA. Electronic address: ocarja@andrew.cmu.edu.

Publikováno v: Trends in ecology & evolution [Trends Ecol Evol] 2024 Oct; Vol. 39 (10), pp. 885-888. Date of Electronic Publication: 2024 Sep 17.

A theory of evolutionary dynamics on any complex population structure reveals stem cell niche architecture as a spatial suppressor of selection.

Autor: Kuo YP; Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA.; Joint Carnegie Mellon University-University of Pittsburgh Ph.D. Program in Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA., Nombela-Arrieta C; Department of Medical Oncology and Hematology, University and University Hospital Zurich, Zurich, Switzerland., Carja O; Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA. oana@cmu.edu.

Publikováno v: Nature communications [Nat Commun] 2024 May 31; Vol. 15 (1), pp. 4666. Date of Electronic Publication: 2024 May 31.

Modeling the Effect of Spatial Structure on Solid Tumor Evolution and Circulating Tumor DNA Composition.

Autor: Rachman T; Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA.; Joint Carnegie Mellon University-University of Pittsburgh Ph.D. Program in Computational Biology, Pittsburgh, PA 15213, USA., Bartlett D; Allegheny Cancer Institute, Allegheny Health Network, Pittsburgh, PA 15224, USA., LaFramboise W; Allegheny Cancer Institute, Allegheny Health Network, Pittsburgh, PA 15224, USA., Wagner P; Allegheny Cancer Institute, Allegheny Health Network, Pittsburgh, PA 15224, USA., Schwartz R; Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA., Carja O; Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA.

Publikováno v: Cancers [Cancers (Basel)] 2024 Feb 20; Vol. 16 (5). Date of Electronic Publication: 2024 Feb 20.

Modeling the effect of spatial structure on solid tumor evolution and ctDNA composition.

Autor: Rachman T; Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA.; Joint Carnegie Mellon University-University of Pittsburgh Ph.D. Program in Computational Biology., Bartlett D; Allegheny Cancer Institute, Allegheny Health Network, Pittsburgh PA., Laframboise W; Allegheny Cancer Institute, Allegheny Health Network, Pittsburgh PA., Wagner P; Allegheny Cancer Institute, Allegheny Health Network, Pittsburgh PA., Schwartz R; Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA., Carja O; Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA.

Publikováno v: BioRxiv : the preprint server for biology [bioRxiv] 2023 Nov 11. Date of Electronic Publication: 2023 Nov 11.