Experimental Methods in Systems Biology

By Coursera on Coursera · Personal Development
Price
$49

About This Course

Learn about the technologies underlying experimentation used in systems biology, with particular focus on RNA sequencing, mass spec-based proteomics, flow/mass cytometry and live-cell imaging. A key driver of the systems biology field is the technology allowing us to delve deeper and wider into how cells respond to experimental perturbations. This in turns allows us to build more detailed quantitative models of cellular function, which can give important insight into applications ranging from biotechnology to human disease. This course gives a broad overview of a variety of current experimental techniques used in modern systems biology, with focus on obtaining the quantitative data needed for computational modeling purposes in downstream analyses. We dive deeply into four technologies in particular, mRNA sequencing, mass spectrometry-based proteomics, flow/mass cytometry, and live-cell imaging. These techniques are often used in systems biology and range from genome-wide coverage to single molecule coverage, millions of cells to single cells, and single time points to frequently sampled time courses. We present not only the theoretical background upon which these technologies work, but also enter real wet lab environments to provide instruction on how these techniques are performed in practice, and how resultant data are analyzed for quality and content.

Instructor

Icahn School of Medicine at Mount Sinai

Frequently Asked Questions

How much does Experimental Methods in Systems Biology cost?
Experimental Methods in Systems Biology costs $49. Check the course page for current pricing and available discounts.
Who teaches Experimental Methods in Systems Biology?
Experimental Methods in Systems Biology is taught by Icahn School of Medicine at Mount Sinai, Icahn School of Medicine at Mount Sinai.
What skill level is Experimental Methods in Systems Biology for?
This course is designed for all levels learners.