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Experimental Methods in Systems Biology, Icahn School of Medicine at Mount Sinai

4.6
166 Bewertungen
26 Bewertungen

Über diesen Kurs

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....

Top-Bewertungen

von FP

Jun 03, 2016

Excellent course with a wealth of information about system biology technologies

von EM

Dec 04, 2015

Great course,\n\nRecommended if you are interest in new technologies

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26 Bewertungen

von Joyce C. Morales Aparicio

May 13, 2019

This course is definitely not for beginners and students must have previous lab experience (in my opinion). It is a great course to get your feet wet in new techniques that you have not performed yet.

von Himanshu

Feb 21, 2019

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.

von Camila Alexandra Farinango Páez

Jan 29, 2019

Excelente

von Pablo Llevenes

Nov 21, 2018

Really good course, even though the test were so unfair with the multiple choice questions. Why not to give any simple 0.2 or 0.25 if you get one answer out of 5? Why do I have to select all ofthem correctly if not I do not receive any point? Very unfair, 4 stars because of this. the rest of it is perfect even with lab based videos.

von Seema Parte

Oct 02, 2018

Way to go..enjoyed learning

von Alison Paquette

Apr 16, 2018

quiz 5 from week 6 does not work.

von Mac Dang Giang

Jan 24, 2018

it was so useful

von 李俊宏

Dec 07, 2017

The course is mainly focused on description of the technologies used in system biology. Mechanisms of these experiments may not be very clear which makes this course seems like an introduction to the experiments. Also the quizzes are too long with enormous words, sometimes it's like a game of finding differences. I hope the quizzes be more focused on principals and calculation, which will make it more clearer.

Finally, the teacher and all staff have made a lot of efforts to build this nice course! Thank you so much!

von Mai Le

Sep 30, 2017

The course provides up to date understanding of new technologies. The examples are carefully analyzed and explained. The course is very helpful for those who want to follow lab-based research. 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.

von Jiho Choi

Mar 09, 2017

Good lecture to know experimental method in lab