期刊文献+

Brief Communications:QTLNetworkR:an interactive R package for QTL visualization

Brief Communications:QTLNetworkR:an interactive R package for QTL visualization
原文传递
导出
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.
出处 《Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)》 SCIE CAS CSCD 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)
关键词 VISUALIZATION Quantitative trait loci (QTL) QTL mapping R package QTLNetworkR 关键词可视化;量的特点 loci (QTL ) ; QTL 印射; R 包裹; QTLNetworkR
  • 相关文献

参考文献19

  • 1Broman, K.W., Wu, H., Sen, S., Churchill, G.A., 2003. R/qtl: QTL mapping in experimental crosses. Bioinformatics, 19(7):889-890. [doi:10.1093/bioinformatics/btg112].
  • 2Clark, R,M., Wagler, T.N., Quijada, P., Doebley, J., 2006. A distant upstream enhancer at the maize domestication gene tb1 has pleiotropic effects on plant and inflorescent architecture. Nature Genetics, 38(5):594-597. [doi:10. 1038/ng1784].
  • 3Doebley, J., 2004. The genetics of maize evolution. Annual Review of Genetics, 38(1):37-59. [doi:10.1146/annurev. genet. 38.072902.092425].
  • 4Haley, C.S., Knott, S.A., 1992. A simple regression method for mapping quantitative trait loci in line crosses using flanking markers. Heredity, 69(4):315-324.
  • 5Ihaka, R., Gentleman, R., 1996. R: a language for data analysis and graphics. Journal of Computational and Graphical Statistics, 5(3):299-314. [doi:10.2307/1390807].
  • 6Joehanes, R., Nelson, J.C., 2008. QGene 4.0, an extensible Java QTL-analysis platform. Bioinformatics, 24(23): 2788-2789. [doi: 10.1093/bioinformatics/btn523].
  • 7Jourjon, M.F., Jasson, S., Marcel, J., Ngom, B., Mangin, B., 2005. MCQTL: multi-allelic QTL mapping in multi-cross design. Bioinformatics, 21(1):128-130. [doi:10.1093/ bioinformatics/bth481 ].
  • 8Kao, C.H., Zeng, Z.B., Teasdale, R.D., 1999. Multiple interval mapping for quantitative trait loci. Genetics, 152(3): 1203-1216.
  • 9Lander, E.S., Botstein, D., 1989. Mapping mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics, 121(1):185-199.
  • 10Lander, E.S., Green, P., Abrahamson, J., Barlow, A., Daly, M.J., Lincoln, S.E., Newberg, L.A., 1987. MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations. Genomics, 1(2): 174-181. [doi: 10.1016/0888-7543 (87)90010-3].

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部