Talks Summer 2015

What We Can Learn from Single-Cell Data

Tuesday, August 11th, 2015, 11:00 am12:00 pm

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Location: 

Calvin Lab Auditorium

Population level measurements are not always informative about the underlying molecular structure of biological networks. Therefore the biology of single cells is essential for understanding how cells work and ultimately indispensable for building correct mathematical models. Using bacteria as an example, I will discuss the insights that one can gain using modern technologies that probe gene expression of single cells in real time.