Quantitative Methods in Cancer Genomics

September 7-16, 2016

Rutgers Cancer Institute’s Center for Systems and Computational Biology

Workshop description

The goal of this workshop is to introduce students of quantitative and biological sciences to important challenges in the field of cancer genomics. It is open to all students and postdoctoral researchers, especially those training in physics, mathematics, quantitative biology, computer science, chemistry, and engineering.

Recent development of high-throughput experimental technologies and high-performance computing platforms have led to the creation of large public repositories of cancer datasets, demanding new quantitative methodologies to integrate and interpret large numbers of biological measurements. Understanding complexity, dynamics, and stochastic patterns in biological data, concepts native to quantitative sciences, are critical for elucidating how diseases like cancer originate and evolve. As researchers begin searching for more precision-oriented treatments in the coming years, computational methods will play important roles in dissecting the cellular and molecular heterogeneity that enables cancer to resist current treatments. These challenges present opportunities for trainees in quantitative sciences who can apply their perspectives to the study of disease.

In this workshop, we will discuss fundamentals in experimental design and high-throughput techniques that systematically measure biological and genomic data from malignant tissue and during tumor evolution. We will also introduce recent developments in mathematics to offer novel approaches for analyzing biological datasets, and describe large public databases that contain the genomes of human diseases as well as disease-causing organisms.