3D graphical visualization of the genetic architectures underlying complex traits in multiple environments

作     者：HU Cheng-cheng YE Xiu-zi ZHANG Yin YU Rong-dong YANG Jian ZHU Jun 

作者机构：College of Computer Science Zhejiang University Hangzhou 310027 China James D. Watson Institute of Genomic Science Zhejiang University Hangzhou 310029 China Institute of Bioinformatics. Zheiiane University. Hangzhou 310029. China 

出 版 物：《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 (浙江大学学报（英文版）A辑（应用物理与工程）)

年 卷 期：2007年第8卷第4期

页      面：563-567页

核心收录：

学科分类：0710[理学-生物学] 07[理学] 08[工学] 080203[工学-机械设计及理论] 09[农学] 071007[理学-遗传学] 0901[农学-作物学] 0802[工学-机械工程] 0836[工学-生物工程] 090102[农学-作物遗传育种] 

基　　金：Project supported by the National Natural Science Foundation of China (Nos. 60473106, 60273060 and 60333010) and the Ph.D. Programs Foundation of Ministry of Education,China (Nos.20030335064 and 20060335114 ) 

主　　题：Ouantitative trait locus (QTL) Visualization 3D graphical Interactive visualization 

摘      要：An approach for generating interactive 3D graphical visualization of the genetic architectures of complex traits in multiple environments is described. 3D graphical visualization is utilized for making improvements on traditional plots in quan- titative trait locus (QTL) mapping analysis. Interactive 3D graphical visualization for abstract expression of QTL, epistasis and their environmental interactions for experimental populations was developed in framework of user-friendly software QTLNetwork (http://***/software/qtlnetwork). Novel definition of graphical meta system and computation of virtual coordinates are used to achieve explicit but meaningful visualization. Interactive 3D graphical visualization for QTL analysis provides geneticists and breeders a powerful and easy-to-use tool to analyze and publish their research results.