题　目：On Design & Analysis of Experiments for Differential Expression using RNA-sequencing 主讲人：Professor Susan Wilson (University of New South Wales and Australian National University) 时　间：100年11月18日(星期五)上午10:40-11:30 (上午10:20-10:40茶会於交大统计所429室举行) 地　点：交大综合一馆427室 Abstract Following an overview of the main phases of experimental design and analysis, this talk will consider their application to finding differential expression using RNA-sequencing (RNA-seq) experiments. Such experiments are being widely used with a vast array of applications from, for example, distinguishing cancer tissue from normal tissue, to finding those genes in plants like rice that are differentially expressed under environmental stress. RNA-seq differs from microarrays in many ways. In particular, it directly profiles transcript abundances. So new statistical methods have been developed for such data, and these will be summarised. Next some interesting comparisons will be given of the relative performance of several packages that have been developed in R/Bioconductor. Currently RNA-seq experiments are relatively expensive. So two key design factors will be considered, namely (i) sequencing depth – how much sequencing data to generate for each sample, and (ii) number of replicates – whether technical replicates are informative and what is the minimum number of biological replicates. --

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