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20112021
most citedDescartes' rule of signs and the identifiability of population demographic models from genomic variation data

93 citations · 309 across the 9 of their papers we have counts for

collaborators

9 papers

q-bio.PE2021

Enumeration of binary trees compatible with a perfect phylogeny

Julia A. Palacios, Anand Bhaskar, Filippo Disanto +1

Evolutionary models used for describing molecular sequence variation suppose that at a non-recombining genomic segment, sequences share ancestry that can be represented as a geneal…

q-bio.PE2017

Geometry of the sample frequency spectrum and the perils of demographic inference

Zvi Rosen, Anand Bhaskar, Sebastien Roch +1

The sample frequency spectrum (SFS), which describes the distribution of mutant alleles in a sample of DNA sequences, is a widely used summary statistic in population genetics. The…

q-bio.PE2016

Novel probabilistic models of spatial genetic ancestry with applications to stratification correction in genome-wide association studies

Anand Bhaskar, Adel Javanmard, Thomas A. Courtade +1

Genetic variation in human populations is influenced by geographic ancestry due to spatial locality in historical mating and migration patterns. Spatial population structure in gen…

q-bio.PE2013★ 92 cited

A novel spectral method for inferring general diploid selection from time series genetic data

Matthias Steinrücken, Anand Bhaskar, Yun S. Song

The increased availability of time series genetic variation data from experimental evolution studies and ancient DNA samples has created new opportunities to identify genomic regio…

q-bio.PE2013★ 93 cited

Descartes' rule of signs and the identifiability of population demographic models from genomic variation data

Anand Bhaskar, Yun S. Song

The sample frequency spectrum (SFS) is a widely-used summary statistic of genomic variation in a sample of homologous DNA sequences. It provides a highly efficient dimensional redu…

q-bio.PE2013★ 84 cited

Distortion of genealogical properties when the sample is very large

Anand Bhaskar, Andrew G. Clark, Yun S. Song

Study sample sizes in human genetics are growing rapidly, and in due course it will become routine to analyze samples with hundreds of thousands if not millions of individuals. In…