SEA v2.0:用于数量性状混合主基因加多基因遗传分析的R软件包

Jing-Tian Wang, Ya-Wen Zhang, Yingying Du, Wen-Long Ren, Hong-Fu Li, Wenying Sun, Chao Ge, Yuan-Ming Zhang
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引用次数: 2

摘要

利用双亲分离群体的数量性状表型值,可以确定其混合主基因加多基因遗传模型,为数量性状的遗传基础和作物育种提供重要信息。为了全面总结方法论进步的研究成果,增加软件的新功能,纠正其在以前版本中的不足,在R studio–1.4.1103平台和R环境下开发了一个具有交互式图形用户界面的R软件包SEA v2.0。在该软件中,共有14种类型的双亲分离群体,每种类型包括四个模块:数据输入、数据分析、后验概率计算和分布曲线绘制。为了节省运行时间,doParallel用于进行并行计算,data.table用于快速读取和写入数据集,MASS用于估计组件分布中的参数。KScorrect、kolmim和闪亮的包被用来简化程序。用户只要上传*.csv格式的数据文件并设置相关参数,就可以快速显示结果。该软件通过大豆结荚习性的真实数据分析和蒙特卡罗模拟研究进行了验证,可从https://cran.r-project.org/web/packages/SEA/index.html.
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SEA v2.0: an R software package for mixed major genes plus polygenes inheritance analysis of quantitative traits
: The phenotypic values for quantitative trait from bi-parental segregation populations can be used to identify its mixed major genes plus polygenes inheritance model, which provides important information for the genetic basis of quantitative traits and crop breeding. To comprehensively summarize the research results of methodological advances, add the new functions of the software and correct its shortcomings in previous versions, an R software package SEA v2.0 with interactive graphical user inter-face is developed under R studio–1.4.1103 platform and R environment. In this software, there were 14 types of bi-parental segregation populations, and each type included four modules: data input, data analysis, posterior probability calculation, and distribution curve drawing. To save running time, doParallel was used to conduct parallel computing, data.table was used to quickly read and write datasets, and MASS was used to estimate the parameters in component distributions. KScorrect, kolmim, and shiny packages were used to simplify the programs. As long as users uploaded the data file with *.csv format and set the related parameters, the results could be quickly displayed. The software was validated by real data analysis of soybean podding habit and Monte Carlo simulation studies, and can be downloaded from https://cran.r-project.org/web/packages/SEA/index.html.
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来源期刊
作物学报
作物学报 Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
1.70
自引率
0.00%
发文量
89
期刊介绍: The major aims of AAS are to report the progresses in the disciplines of crop breeding, crop genetics, crop cultivation, crop physiology, ecology, biochemistry, germplasm resources, grain chemistry, grain storage and processing, bio-technology and biomathematics etc. mainly in China and abroad. AAS provides regular columns for Original papers, Reviews, and Research notes. The strict peer-review procedure guarantees the academic level and raises the reputation of the journal. The readership of AAS is for crop science researchers, students of agricultural colleges and universities, and persons with similar academic level.
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