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Experimental Methods in Systems Biology

This course is a part of Systems Biology and Biotechnology, a 6-course Specialization series from Coursera.

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.

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Icahn School of Medicine at Mount Sinai

Rating 4.2 based on 27 ratings
Length 9 weeks
Effort 6-8 hours/week
Starts Jul 6 (last week)
Cost $49
From Icahn School of Medicine at Mount Sinai via Coursera
Instructor Marc Birtwistle, PhD
Download Videos On all desktop and mobile devices
Language English
Subjects Science
Tags Life Sciences Biology Research

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What people are saying

According to other learners, here's what you need to know

actually understand deeply in one review

However, learners must be aware that the amount of knowledge you take in for each lesson is very large, you might need to watch the lesson over and over again to actually understand deeply.

building network models in one review

Great course,Recommended if you are interest in new technologies A good course for someone interested to work in the field of systems biology, and thanks to Icahn School of Medicine and Coursera for the same.But the course could have been a bit more comprehensive with respect to cellular experiments and include coverage of experiments done outside the Mount Sinai lab as well, especially 'non-omic' experiments such as cell growth and viability assays or KD , KO or Over-Expression studies that can be really useful for building network models.

highlight exactly what in one review

very good introduction but as i go through the videos and then do the quiz i feel like the material doesn't highlight exactly what is needed for the quiz.

prevent confusion at in one review

Nevertheless "Choose all that apply" questions in the quizzes are very ambiguous, these questions should contain an explanation for prevent confusion at the end of every unit.

them properly although in one review

This a great course it helps a lot to get to know state of the art techniques and how to use them properly although the assigment questions of selecting the statements are quite confusing.

any simple 0.2 in one review

Why not to give any simple 0.2 or 0.25 if you get one answer out of 5?

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Coursera

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Icahn School of Medicine at Mount Sinai

Rating 4.2 based on 27 ratings
Length 9 weeks
Effort 6-8 hours/week
Starts Jul 6 (last week)
Cost $49
From Icahn School of Medicine at Mount Sinai via Coursera
Instructor Marc Birtwistle, PhD
Download Videos On all desktop and mobile devices
Language English
Subjects Science
Tags Life Sciences Biology Research

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