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One or more keywords matched the following properties of Steinruecken, Matthias
PropertyValue
keywords Population Genetics
overview In my research, I develop computational and statistical methods for population genomics analysis to investigate the forces underlying evolution and genetic variation in populations. Specifically, some things we work on are inferring demographic histories, and studying adaptation using ancient DNA or time series genetic data.
One or more keywords matched the following items that are connected to Steinruecken, Matthias
Item TypeName
Concept Genetics, Population
Concept Population Density
Academic Article Inference of population history using coalescent HMMs: review and outlook.
Academic Article POPULATION GENETICS. Genomic evidence for the Pleistocene and recent population history of Native Americans.
Academic Article The Effects of Population Size Histories on Estimates of Selection Coefficients from Time-Series Genetic Data.
Academic Article An accurate sequentially Markov conditional sampling distribution for the coalescent with recombination.
Academic Article Terminal Pleistocene Alaskan genome reveals first founding population of Native Americans.
Academic Article Computing the joint distribution of the total tree length across loci in populations with variable size.
Academic Article SpectralTDF: transition densities of diffusion processes with time-varying selection parameters, mutation rates and effective population sizes.
Academic Article Transition Densities and Sample Frequency Spectra of Diffusion Processes with Selection and Variable Population Size.
Academic Article A modified lookdown construction for the Xi-Fleming-Viot process with mutation and populations with recurrent bottlenecks
Academic Article Model-based detection and analysis of introgressed Neanderthal ancestry in modern humans.
Academic Article A sequentially Markov conditional sampling distribution for structured populations with migration and recombination.
Academic Article Importance sampling for Lambda-coalescents in the infinitely many sites model.
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  • Population