2014年9月9日，哈佛大学医学院教学附属丹娜法伯癌症研究院（Dana-Farber Cancer Institute）生物统计与计算生物学系陈轶文博士访问中心，并作题为Surfing in the "big data" era for biological discovery: from transcription regulation to long non-coding RNA function 的讲座。
讲座简介：The advancement in high-throughput technologies such as microarray, next-generation sequencing (NGS) has greatly facilitated the cost-effective large-scale data generation. As a result, we are getting into the “Big Data” era of biomedical research. Despite the great opportunities in the "Big Data" era, it remains challenging to interpret and integrate different types of omic datasets for data-driven discovery in biology. In this talk, I will present several case studies of utilizing integrative approaches for biological discovery, ranging from improving the discovery of transcription factor binding sites to decoding the long non-coding RNA function in human cancer.