This course will introduce the student to contemporary Systems Biology focused on mammalian cells, their constituents and their functions. Biology is moving from molecular to modular. As our knowledge of our genome and gene expression deepens and we develop lists of molecules (proteins, lipids, ions) involved in cellular processes, we need to understand how these molecules interact with each other to form modules that act as discrete functional systems. These systems underlie core subcellular processes such as signal transduction, transcription, motility and electrical excitability. In turn these processes come together to exhibit cellular behaviors such as secretion, proliferation and action potentials. What are the properties of such subcellular and cellular systems? What are the mechanisms by which emergent behaviors of systems arise? What types of experiments inform systems-level thinking? Why do we need computation and simulations to understand these systems?
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西奈山伊坎医学院
The Icahn School of Medicine at Mount Sinai, in New York City is a leader in medical and scientific training and education, biomedical research and patient care.
授课大纲 - 您将从这门课程中学到什么
Systems Level Reasoning | Molecules to Pathways
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Pathways to Networks | Physical Forces and Electrical Activity in Cell Biology
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Mathematical Representations of Cell Biological Systems | Simulations of Cell Biological Systems
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Experimental Technologies | Network Building and Analysis
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审阅
- 5 stars57.22%
- 4 stars25.24%
- 3 stars8.67%
- 2 stars5.20%
- 1 star3.66%
来自系统生物学导论的热门评论
Great introduction and overview. Exams are especially well thought out.
This course has been a very instructive course for me. I would like to thank ISM and Dr. Iyengar for his sacrifice for sharing his knowledge!!!
This online course is very helpful and very educational.
It's a challenging subject. Don't expect to walk away from the course with a complete grasp of systems biology. However, this course is a fantastic place to start.
关于 系统生物学与生物技术 专项课程
Design systems-level experiments using appropriate cutting edge techniques, collect big data, and analyze and interpret small and big data sets quantitatively.

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