ArticleG3 (Bethesda, Md.)2015
XSim: Simulation of Descendants from Ancestors with Sequence Data.
Article in G3 (Bethesda, Md.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Bridging tradition and innovation: a review of computer simulations in plant breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Review
- SimGBS: a rapid method for simulating large-scale genotyping-by-sequencing data.BMC bioinformatics · 2025Article
- GENLIB: new function to simulate haplotype transmission in large complex genealogies.Bioinformatics (Oxford, England) · 2023Article
- XSim version 2: simulation of modern breeding programs.G3 (Bethesda, Md.) · 2022Article
- Estimating Heritabilities and Breeding Values From Censored Phenotypes Using a Data Augmentation Approach.Frontiers in genetics · 2022Article
- SimRVSequences: an R package to simulate genetic sequence data for pedigrees.Bioinformatics (Oxford, England) · 2020Article
- Fast parallelized sampling of Bayesian regression models for whole-genome prediction.Genetics, selection, evolution : GSE · 2020Article
- Genomic Prediction from Multiple-Trait Bayesian Regression Methods Using Mixture Priors.Genetics · 2018Article
- Article
- Efficient strategies for leave-one-out cross validation for genomic best linear unbiased prediction.Journal of animal science and biotechnology · 2017Article
- An Upper Bound for Accuracy of Prediction Using GBLUP.PloS one · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.