其他报告

学术报告(2017-04-20)Bayesian multi-trait models for GxE and genomic prediction of expensive traits

发布时间:2017-04-15  阅读次数:8231

报告题目:Bayesian multi-trait models for GxE and genomic prediction of expensive traits

时间:2017年4月20日(星期四),上午9:00-9:40

报告人:Prof. Luc Janss, Aarhus University, Denmark

 

报告人简介:

       Dr. Luc Janss’smain research competence is to design and implement new statistical analysis tools for advanced data analyses, with a main focus on genetics and biomedical data analysis and use of Bayesian tools. Dr. Janss  has large experience in developing statistical computing software in the area of gene mapping and analysis of genomic data, and in applying these methods in animal and plant breeding. His research topics include: general quantitative genetics, QTL mapping (interval mapping, LD-LA mapping, association mapping), analysis of gene expression data, methods for analysis and use of genotyping-by-sequencing, genomic prediction, methods for multitrait and GxE analysis; with applications in plant, animal and human data. Total 109 peer reviewed publications, 3124 total citations, H-index 30 (Google Scholar)

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