Inference of Population Structure from Time-Series Genotype Data

Volume: 105, Issue: 2, Pages: 317 - 333
Published: Aug 1, 2019
Abstract
Sequencing ancient DNA can offer direct probing of population history. Yet, such data are commonly analyzed with standard tools that assume DNA samples are all contemporary. We present DyStruct, a model and inference algorithm for inferring shared ancestry from temporally sampled genotype data. DyStruct explicitly incorporates temporal dynamics by modeling individuals as mixtures of unobserved populations whose allele frequencies drift over...
Paper Details
Title
Inference of Population Structure from Time-Series Genotype Data
Published Date
Aug 1, 2019
Volume
105
Issue
2
Pages
317 - 333
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.