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作 者:Wen-jun ZHENG Jian YANG Jun ZHU
机构地区:[1]Institute of Bioinformatics, Zhejiang University, Hangzhou 310029, China [2]Queensland Institute of Medical Research, Brisbane, Queensland 4006, Australia
出 处:《Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)》2010年第7期512-515,共4页浙江大学学报(英文版)B辑(生物医学与生物技术)
基 金:Project supported by the National Basic Research Program (973) of China (No. 2008CB117002);the Ministry of Agriculture Public Benefit Research Foundation of China (No. 200803034);the National High-Tech R & D Program (863) of China (No. 2006AA10A102)
摘 要:QTLNetworkR is an R package that aims to provide a user-friendly and platform-independent tool to visualize quantitative trait loci (QTL) mapping results. The graphical functions of the QTLNetworkR are based upon lattice and grid packages, and the graphical user interface (GUI) of the QTLNetworkR is built upon RGtk2 and gWidgetsRGtk2 packages. Six functions are designed to help visualize marker interval, putative QTL, QTL-by- environment interactions, marker interval interactions, epistasis, and the predicted genetic architecture of complex traits. It is especially helpful in profiling results for multiple traits at multiple environments. The current version of QTLNetworkR is able to accept QTL mapping results from QTLNetwork, and it is ready for possible extensions to import results from some other QTL mapping software packages. In addition, we presented a QTL mapping result in rice (Oryza sativa) as an example to describe the features of QTLNetworkR.QTLNetworkR is an R package that aims to provide a user-friendly and platform-independent tool to visualize quantitative trait loci (QTL) mapping results. The graphical functions of the QTLNetworkR are based upon lattice and grid packages, and the graphical user interface (GUI) of the QTLNetworkR is built upon RGtk2 and gWidgetsRGtk2 packages. Six functions are designed to help visualize marker interval, putative QTL, QTL-by- environment interactions, marker interval interactions, epistasis, and the predicted genetic architecture of complex traits. It is especially helpful in profiling results for multiple traits at multiple environments. The current version of QTLNetworkR is able to accept QTL mapping results from QTLNetwork, and it is ready for possible extensions to import results from some other QTL mapping software packages. In addition, we presented a QTL mapping result in rice (Oryza sativa) as an example to describe the features of QTLNetworkR.
关 键 词:VISUALIZATION Quantitative trait loci (QTL) QTL mapping R package QTLNetworkR
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