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Bioinformatics Training and Education Program

Quantifying Tumor Heterogeneity Using Single-Cell and Spatial Sequencing

Quantifying Tumor Heterogeneity Using Single-Cell and Spatial Sequencing

 When: Mar. 23rd, 2022 11:00 am - 12:00 pm

This class has ended.
To Know
  • Where: Online Webinar
  • Organized By: Data Science Seminar Series

About this Class

Please join us on March 23 when Ben Raphael, Ph.D., will present “Quantifying Tumor Heterogeneity Using Single-Cell and Spatial Sequencing.” In this presentation, Dr. Raphael will describe computational approaches to quantify tumor heterogeneity and reconstruct tumor evolution using data from single-cell DNA and spatial RNA sequencing technologies. He will also explain how tumors are heterogeneous mixtures of normal and cancerous cells with distinct genetic and transcriptional profiles. Dr. Raphael is a professor at Princeton University where he develops algorithms and mathematical models for addressing biological problems. His major areas of interest include computational cancer genomics, human structural variation, and comparative genomics.