4.8k citations
- European Bioinformatics InstituteGB18 papers
- University of CambridgeGB14 papers
- The Gurdon InstituteGB10 papers
- University College LondonGB9 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- Wellcome / EPSRC Centre for Interventional and Surgical SciencesGB6 papers
- InsermFR3 papers
- Institute of Science and Technology AustriaAT3 papers
- Institut national de recherche en sciences et technologies du numériqueFR3 papers
- National Center for Tumor DiseasesDE3 papers
- SIB Swiss Institute of BioinformaticsCH3 papers
- Wellcome/MRC Cambridge Stem Cell InstituteGB3 papers
5 papers · 1 filter
A computational framework for modelling infectious disease policy based on age and household structure with applications to the COVID-19 pandemic
Joe Hilton, Heather Riley, Lorenzo Pellis +9
The widespread, and in many countries unprecedented, use of non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic has highlighted the need for mathematical models wh…
Decision Making on Fitness Landscapes
Rudy Arthur, Paolo Sibani
We discuss fitness landscapes and how they can be modified to account for co-evolution. We are interested in using the landscape as a way to model rational decision making in a toy…
Clustering genes of common evolutionary history
Kevin Gori, Tomasz Suchan, Nadir Alvarez +2
Phylogenetic inference can potentially result in a more accurate tree using data from multiple loci. However, if the loci are incongruent--due to events such as incomplete lineage…
Genome-wide inference of ancestral recombination graphs
Matthew D. Rasmussen, Melissa J. Hubisz, Ilan Gronau +1
The complex correlation structure of a collection of orthologous DNA sequences is uniquely captured by the "ancestral recombination graph" (ARG), a complete record of coalescence a…
A tree without leaves
Brigitte Meyer-Berthaud, Anne-Laure Decombeix
The puzzle presented by the famous stumps of Gilboa, New York, finds a solution in the discovery of two fossil specimens that allow the entire structure of these early trees to be…