How to make sense out of Clip-seq data

Distinguished Lectures in Life Science

Dr. Rolf Backofen

November 27, 2018 @ 04:00 pm

Berg Auditorium, 100 Life Sciences Building
University Park

Speaker: Dr. Rolf Backofen

Title: How to make sense out of Clip-seq data

Host: Dr. Anton Nekrutenko (

It is becoming increasingly clear that RNA-binding proteins are key elements in regulating the cell's transcriptome. CLIP-seq is one of the major tools to determine binding sites but suffers from high false negative rate due its expression dependency. This critical hinders the use of public CLIP-data. He will show how use of raw public CLIP-seq data can lead to false biological reasoning and how advanced machine learning approach can overcome this problem. He will introduce some recent application of approach that allows us to determine mechanism underlying post-transcriptional regulation. He will further discuss his results from recent Nature paper, showing that the human RNA helicase DHX9 predominantly binds to IRAlu elements and suppresses the negative effect of Alu inflation in transcripts.

Remote viewers can watch the lecture via live-streaming or anytime later at Mediasite:

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