Course Summary
Learn how to apply mathematical and computational tools to solve biological problems with this systems biology course. Discover how to analyze complex biological systems and gain a better understanding of their behavior.Key Learning Points
- Learn how to model and simulate biological systems
- Apply computational tools to analyze complex biological data
- Understand the principles of systems biology
Related Topics for further study
Learning Outcomes
- Understand the basics of systems biology
- Learn how to model and simulate biological systems
- Apply computational tools to analyze complex biological data
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of biology
- Basic understanding of mathematical concepts
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
- Video lectures
- Assignments
- Quizzes
Similar Courses
- Bioinformatics: Introduction and Methods
- Computational Biology: Genomes, Networks, Evolution
- Systems Biology and Biotechnology
Related Education Paths
Notable People in This Field
- Uri Alon
- Stephen Wolfram
- Eric Lander
Related Books
Description
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?
Outline
- Systems Level Reasoning | Molecules to Pathways
- Overview of Systems Level Reasoning & Molecules to Pathways
- Systems Level Reasoning I
- Systems Level Reasoning II
- Molecules to Pathways - cAMP and G Protein Pathways I
- Molecules to Pathways - cAMP and G Protein Pathways II
- Required Reading List
- Lecture Slides
- Lecture Slides
- Systems Level Reasoning | Molecules to Pathways
- Pathways to Networks | Physical Forces and Electrical Activity in Cell Biology
- Pathways to Networks - MAP-kinase Pathways/Network I
- Pathways to Networks - MAP-kinase Pathways/Network II
- Mechanical Forces in Cell Biology
- Electrical Activity in Cell Biology
- Lecture Slides
- Lecture Slides
- Lecture Slides
- Pathways to Networks | Physical Forces and Electrical Activity in Cell Biology
- Mathematical Representations of Cell Biological Systems | Simulations of Cell Biological Systems
- Mathematical Representations of Cell Biological Systems I
- Mathematical Representations of Cell Biological Systems II
- Simulations of Cell Biological Systems I
- Simulations of Cell Biological Systems II
- Lecture Slides
- Lecture Slides
- Lecture Slides
- Mathematical Representations of Cell Biological Systems | Simulations of Cell Biological Systems
- Experimental Technologies | Network Building and Analysis
- Experimental Technologies
- Analyzing Large Data Sets
- Network Building/Analysis and Data Organization
- Building Networks
- Lecture Slides
- Lecture Slides
- Lecture Slides
- Lecture Slides
- Experimental Technologies | Network Building and Analysis
- Midterm
- Midterm Exam
- Analysis of Networks | Topology to Function
- Analysis of Networks I
- Analysis of Networks II
- From Topology to Function: Directed Sign Specified Graphs I
- From Topology to Function: Directed Sign Specified Graphs II
- Lecture Slides
- Lecture Slides
- Lecture Slides
- Analysis of Networks | Topology to Function
- Strengths and Limitations of Different Types of Models | Identifying Emergent Properties
- Strengths and Limitations of Different Types of Models I
- Strengths and Limitations of Different Types of Models II
- Identifying Emergent Properties: Bistability I
- Identifying Emergent Properties: Bistability II
- Lecture Slides
- Lecture Slides
- Lecture Slides
- Lecture Slides
- Strengths and Limitations of Different Types of Models | Identifying Emergent Properties
- Emergent Properties: Ultrasensitivity and Robustness | Case Studies
- Ultrasensitivity
- Robustness and Scaffolds
- Case Studies I
- Case Studies II
- Lecture Slides
- Lecture Slides
- Lecture Slides
- Lecture Slides
- Emergent Properties: Ultrasensitivity and Robustness | Case Studies
- Case Studies | Systems Biomedicine | Systems Pharmacology and Therapeutics | Perspective
- Case Studies III
- Case Studies IV
- Systems Biomedicine
- Systems Pharmacology and Therapeutics
- Perspective
- Lecture Slides
- Lecture Slides
- Lecture Slides
- Lecture Slides
- Case Studies | Systems Biomedicine | Systems Pharmacology and Therapeutics | Perspective
- Final
- Final Exam
Summary of User Reviews
Discover the fascinating world of systems biology with this enlightening course on Coursera. Students have praised the comprehensive curriculum and engaging teaching style.Key Aspect Users Liked About This Course
The course provides a thorough understanding of systems biology and its applications.Pros from User Reviews
- In-depth lectures and course materials
- Well-structured assignments and quizzes
- Engaging and knowledgeable instructors
- Useful real-world examples
- Great for both beginners and advanced learners
Cons from User Reviews
- Some concepts may be challenging to grasp
- No interaction with other students
- Limited opportunities for hands-on practice
- Could benefit from more visual aids
- Some technical issues with the platform
Ravi Iyengar, PhD
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