GAPIT: genome association and prediction integrated tool
GAPIT: genome association and prediction integrated tool
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DOI：
10.1093/bioinformatics/bts444
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发表时间：
2012-09-15
期刊：
影响因子：
5.8
通讯作者：
Zhang, Zhiwu
中科院分区：
文献类型：
--
作者：
Lipka, Alexander E.;Tian, Feng;Zhang, Zhiwu
进行全基因组关联研究和基因组预测和选择的软件程序需要使用最大化统计能力的方法，提供高预测准确性并以计算高效的方式运行。我们开发了一个名为基因组关联和预测集成工具（GAPIT）的R软件包，该软件包实现了高级统计方法，包括压缩混合线性模型（CMLM）和基于CMLM的基因组预测和选择。GAPIT软件包可以处理超过10 000个个体和100万个单核苷酸多态性的大型数据集，同时提供用户友好的访问和简洁的表格和图表来解释结果。
Software programs that conduct genome-wide association studies and genomic prediction and selection need to use methodologies that maximize statistical power, provide high prediction accuracy and run in a computationally efficient manner. We developed an R package called Genome Association and Prediction Integrated Tool (GAPIT) that implements advanced statistical methods including the compressed mixed linear model (CMLM) and CMLM-based genomic prediction and selection. The GAPIT package can handle large datasets in excess of 10 000 individuals and 1 million single-nucleotide polymorphisms with minimal computational time, while providing user-friendly access and concise tables and graphs to interpret results.