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Slideshow

Jiping Wang

Jiping
JiPing Wang
Department of Statistics and Data Science
Northwestern University
Zoom
Event Flyer (484.78 KB)

Ribosome footprint Differentiation and DNA Cyclizability Prediction

High throughput sequencing has become a standard technology in many assays in biomedical research. In this talk I present recent work on two problems namely, ribosome footprint profiling and DNA cyclizability prediction. Ribosome is a protein that binds along the transcript to facilitate translation. Knowing its footprint and abundance provides a measurement of translation efficiency and dynamics. I will discuss a statistical framework named RiboDiPA for differential pattern analysis for ribo-seq data. DNA bendability/cyclizability is a fundamental measure of DNA mechanics that virtually affects all cellular activities that involve DNA. A recently high throughput assay named loop-seq has been developed to quantify the DNA cyclizability. We show a tool named DNAcycP based on deep learning model that can predict DNA cyclizability with high fidelity.

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