HAP-SAMPLE2:基于数据的重采样与混合物的关联研究。

George Sun, Bryan W Ting, Fred A Wright, Yi-Hui Zhou
{"title":"HAP-SAMPLE2:基于数据的重采样与混合物的关联研究。","authors":"George Sun, Bryan W Ting, Fred A Wright, Yi-Hui Zhou","doi":"10.1093/bioinformatics/btaf333","DOIUrl":null,"url":null,"abstract":"<p><strong>Motivation: </strong>HAP-SAMPLE2 extends the functionality of the original HAP-SAMPLE tool for simulating genotype-phenotype data, now with features to handle population admixture and rare variant analysis. It allows users to define parameters such as disease prevalence and allele effect sizes for both common and rare variant simulations.</p><p><strong>Application: </strong>HAP-SAMPLE2 provides an efficient means for simulating complex datasets, suitable for large-scale projects like the 1000 Genomes Project. Its capabilities for population admixture allow users to create admixed populations or preserve substructures, while introducing novel variation through artificial recombination. Additionally, the tool supports burden testing for rare variants using fixed and Madsen-Browning weighting schemes.</p><p><strong>Availability: </strong>The software, along with a detailed vignette, is available on GitHub: https://github.com/M3dical/HAPSAMPLE2.</p><p><strong>Supplementary information: </strong>A supplemental material file and software vignette are available at Bioinformatics online.</p>","PeriodicalId":93899,"journal":{"name":"Bioinformatics (Oxford, England)","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"HAP-SAMPLE2: Data-based Resampling for Association Studies with Admixture.\",\"authors\":\"George Sun, Bryan W Ting, Fred A Wright, Yi-Hui Zhou\",\"doi\":\"10.1093/bioinformatics/btaf333\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Motivation: </strong>HAP-SAMPLE2 extends the functionality of the original HAP-SAMPLE tool for simulating genotype-phenotype data, now with features to handle population admixture and rare variant analysis. It allows users to define parameters such as disease prevalence and allele effect sizes for both common and rare variant simulations.</p><p><strong>Application: </strong>HAP-SAMPLE2 provides an efficient means for simulating complex datasets, suitable for large-scale projects like the 1000 Genomes Project. Its capabilities for population admixture allow users to create admixed populations or preserve substructures, while introducing novel variation through artificial recombination. Additionally, the tool supports burden testing for rare variants using fixed and Madsen-Browning weighting schemes.</p><p><strong>Availability: </strong>The software, along with a detailed vignette, is available on GitHub: https://github.com/M3dical/HAPSAMPLE2.</p><p><strong>Supplementary information: </strong>A supplemental material file and software vignette are available at Bioinformatics online.</p>\",\"PeriodicalId\":93899,\"journal\":{\"name\":\"Bioinformatics (Oxford, England)\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bioinformatics (Oxford, England)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/bioinformatics/btaf333\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioinformatics (Oxford, England)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/bioinformatics/btaf333","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

动机:HAP-SAMPLE2扩展了原始HAP-SAMPLE工具的功能,用于模拟基因型-表型数据,现在具有处理种群混合和罕见变异分析的功能。它允许用户为常见和罕见的变异模拟定义诸如疾病流行和等位基因效应大小等参数。应用:HAP-SAMPLE2提供了一种模拟复杂数据集的有效方法,适用于像1000基因组计划这样的大型项目。它的种群混合能力允许用户创建混合种群或保留子结构,同时通过人工重组引入新的变异。此外,该工具还支持使用固定和Madsen-Browning加权方案对罕见变体进行负担测试。可用性:该软件以及详细的小插图可在GitHub上获得:https://github.com/M3dical/HAPSAMPLE2.Supplementary信息:补充材料文件和软件小插图可在Bioinformatics在线获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
HAP-SAMPLE2: Data-based Resampling for Association Studies with Admixture.

Motivation: HAP-SAMPLE2 extends the functionality of the original HAP-SAMPLE tool for simulating genotype-phenotype data, now with features to handle population admixture and rare variant analysis. It allows users to define parameters such as disease prevalence and allele effect sizes for both common and rare variant simulations.

Application: HAP-SAMPLE2 provides an efficient means for simulating complex datasets, suitable for large-scale projects like the 1000 Genomes Project. Its capabilities for population admixture allow users to create admixed populations or preserve substructures, while introducing novel variation through artificial recombination. Additionally, the tool supports burden testing for rare variants using fixed and Madsen-Browning weighting schemes.

Availability: The software, along with a detailed vignette, is available on GitHub: https://github.com/M3dical/HAPSAMPLE2.

Supplementary information: A supplemental material file and software vignette are available at Bioinformatics online.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信