Unsupervised detection of ancestry tracks with the GHap r package-Reference-Cited by-同舟云学术

Unsupervised detection of ancestry tracks with the GHap r package

Published:2020-09-07 Issue:11 Volume:11 Page:1448-1454
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol. Evol.

Author:

Utsunomiya Yuri Tani¹²^ORCID,Milanesi Marco¹²,Barbato Mario³,Utsunomiya Adam Taiti Harth¹²,Sölkner Johann⁴,Ajmone‐Marsan Paolo³,Garcia José Fernando¹²⁵

Affiliation:

1. Department of Support, Production and Animal Health School of Veterinary Medicine of Araçatuba São Paulo State University (Unesp) Araçatuba/SP Brazil

2. International Atomic Energy Agency (IAEA) Collaborating Centre on Animal Genomics and Bioinformatics Araçatuba/SP Brazil

3. Department of Animal Science Food and Nutrition—DIANA and Nutrigenomics and Proteomics Research Center Università Cattolica del Sacro Cuore Piacenza Italy

4. Division of Livestook Sciences Department of Sustainable Agriculture System BOKU—University of Natural Resources and Life Sciences Vienna Austria

5. Department of Preventive Veterinary Medicine and Animal Reproduction School of Agricultural and Veterinarian Sciences São Paulo State University (Unesp) Jaboticabal/SP Brazil

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13467

Reference25 articles.

1. Fast model-based estimation of ancestry in unrelated individuals

2. Integrating common and rare genetic variation in diverse human populations

3. Fast and accurate inference of local ancestry in Latino populations

4. A One-Penny Imputed Genome from Next-Generation Reference Panels

5. Multiway Admixture Deconvolution Using Phased or Unphased Ancestral Panels

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