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XSim: Simulation of Descendants from Ancestors with Sequence Data
Real or imputed high-density SNP genotypes are routinely used for genomic prediction and genome-wide association studies. Many researchers are moving toward the use of actual or imputed next-generation sequence data in whole-genome analyses. Simulation studies are useful to mimic complex scenarios a...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4502375/ https://www.ncbi.nlm.nih.gov/pubmed/25953958 http://dx.doi.org/10.1534/g3.115.016683 |
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author | Cheng, Hao Garrick, Dorian Fernando, Rohan |
author_facet | Cheng, Hao Garrick, Dorian Fernando, Rohan |
author_sort | Cheng, Hao |
collection | PubMed |
description | Real or imputed high-density SNP genotypes are routinely used for genomic prediction and genome-wide association studies. Many researchers are moving toward the use of actual or imputed next-generation sequence data in whole-genome analyses. Simulation studies are useful to mimic complex scenarios and test different analytical methods. We have developed the software tool XSim to efficiently simulate sequence data in descendants in arbitrary pedigrees. In this software, a strategy to drop-down origins and positions of chromosomal segments rather than every allele state is implemented to simulate sequence data and to accommodate complicated pedigree structures across multiple generations. Both C++ and Julia versions of XSim have been developed. |
format | Online Article Text |
id | pubmed-4502375 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-45023752015-07-17 XSim: Simulation of Descendants from Ancestors with Sequence Data Cheng, Hao Garrick, Dorian Fernando, Rohan G3 (Bethesda) Genomic Selection Real or imputed high-density SNP genotypes are routinely used for genomic prediction and genome-wide association studies. Many researchers are moving toward the use of actual or imputed next-generation sequence data in whole-genome analyses. Simulation studies are useful to mimic complex scenarios and test different analytical methods. We have developed the software tool XSim to efficiently simulate sequence data in descendants in arbitrary pedigrees. In this software, a strategy to drop-down origins and positions of chromosomal segments rather than every allele state is implemented to simulate sequence data and to accommodate complicated pedigree structures across multiple generations. Both C++ and Julia versions of XSim have been developed. Genetics Society of America 2015-05-07 /pmc/articles/PMC4502375/ /pubmed/25953958 http://dx.doi.org/10.1534/g3.115.016683 Text en Copyright © 2015 Cheng et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Genomic Selection Cheng, Hao Garrick, Dorian Fernando, Rohan XSim: Simulation of Descendants from Ancestors with Sequence Data |
title | XSim: Simulation of Descendants from Ancestors with Sequence Data |
title_full | XSim: Simulation of Descendants from Ancestors with Sequence Data |
title_fullStr | XSim: Simulation of Descendants from Ancestors with Sequence Data |
title_full_unstemmed | XSim: Simulation of Descendants from Ancestors with Sequence Data |
title_short | XSim: Simulation of Descendants from Ancestors with Sequence Data |
title_sort | xsim: simulation of descendants from ancestors with sequence data |
topic | Genomic Selection |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4502375/ https://www.ncbi.nlm.nih.gov/pubmed/25953958 http://dx.doi.org/10.1534/g3.115.016683 |
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