We may earn an affiliate commission when you visit our partners.
Course image
Coursera logo

Integrated Analysis in Systems Biology

Susana Neves, PhD

This course will focus on developing integrative skills through directed reading and analysis of the current primary literature to enable the student to develop the capstone project as the overall final exam for the specialization in systems biology.

Enroll now

What's inside

Syllabus

General Features of Systems Biology Studies
Issues of Reproducibility in Systems Biology
Introduction to Research Article 2
Read more
The description goes here
Introduction to Research Article 3

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Demands reading and analysis of current primary literature to develop capstone project
Builds strong foundation in systems biology for intermediate learners

Save this course

Save Integrated Analysis in Systems Biology to your list so you can find it easily later:
Save

Reviews summary

Systems biology analysis

According to students, this course on systems biology analysis is well received. Students largely commend the course for its engaging assignments and knowledgeable instructors.
Instructors are accessible and knowledgeable
"The instructors are very knowledgeable and accessible. They are always willing to help you out if you are struggling."
"I really appreciate the instructors in this course. They are very knowledgeable and passionate about the subject matter."
Assignments help keep you engaged
"The assignments in this course are really engaging and help you to learn the material in a fun and interactive way."
"I really enjoyed the assignments in this course. They were challenging but also very rewarding."

Career center

Learners who complete Integrated Analysis in Systems Biology will develop knowledge and skills that may be useful to these careers:
Systems Biologist
**Systems Biologists** study the interactions between different components of biological systems. This course in Integrated Analysis in Systems Biology may be useful for aspiring Systems Biologists, as it provides a foundation in the analysis of biological data and the development of computational models.
Biomedical Engineer
**Biomedical Engineers** design and develop medical devices and technologies. This course in Integrated Analysis in Systems Biology may be useful for aspiring Biomedical Engineers, as it provides a foundation in the analysis of biological data and the development of computational models.
Computational Biologist
**Computational Biologists** use computational tools and techniques to study biological systems. This course in Integrated Analysis in Systems Biology may be useful for aspiring Computational Biologists, as it provides a foundation in the analysis of biological data and the development of computational models.
Research Scientist
**Research Scientists** conduct research in the biological sciences. This course in Integrated Analysis in Systems Biology may be useful for aspiring Research Scientists, as it provides a foundation in the analysis of biological data and the development of computational models.
Software Engineer
**Software Engineers** design, develop, and maintain software applications. This course in Integrated Analysis in Systems Biology may be useful for aspiring Software Engineers, as it provides a foundation in the analysis of data and the development of models.
Quantitative Analyst
**Quantitative Analysts** use mathematical and statistical methods to analyze financial data. This course in Integrated Analysis in Systems Biology may be useful for aspiring Quantitative Analysts, as it provides a foundation in the analysis of data and the development of models.
Chemical Engineer
**Chemical Engineers** design and operate chemical plants and processes. This course in Integrated Analysis in Systems Biology may be useful for aspiring Chemical Engineers, as it provides a foundation in the analysis of data and the development of models.
Data Scientist
**Data Scientists** use data to solve problems and make decisions. This course in Integrated Analysis in Systems Biology may be useful for aspiring Data Scientists, as it provides a foundation in the analysis of data and the development of models.
Civil Engineer
**Civil Engineers** design and construct infrastructure projects. This course in Integrated Analysis in Systems Biology may be useful for aspiring Civil Engineers, as it provides a foundation in the analysis of data and the development of models.
Biostatistician
**Biostatisticians** use statistical methods to analyze and interpret data in the biological sciences. This course in Integrated Analysis in Systems Biology may be useful for aspiring Biostatisticians, as it provides a foundation in the analysis of biological data and the development of computational models.
Machine Learning Engineer
**Machine Learning Engineers** design and develop machine learning models. This course in Integrated Analysis in Systems Biology may be useful for aspiring Machine Learning Engineers, as it provides a foundation in the analysis of data and the development of models.
Electrical Engineer
**Electrical Engineers** design and develop electrical systems and devices. This course in Integrated Analysis in Systems Biology may be useful for aspiring Electrical Engineers, as it provides a foundation in the analysis of data and the development of models.
Industrial Engineer
**Industrial Engineers** design and improve industrial processes. This course in Integrated Analysis in Systems Biology may be useful for aspiring Industrial Engineers, as it provides a foundation in the analysis of data and the development of models.
Operations Research Analyst
**Operations Research Analysts** use mathematical and statistical methods to solve problems in business and industry. This course in Integrated Analysis in Systems Biology may be useful for aspiring Operations Research Analysts, as it provides a foundation in the analysis of data and the development of models.
Statistician
**Statisticians** use statistical methods to collect, analyze, and interpret data. This course in Integrated Analysis in Systems Biology may be useful for aspiring Statisticians, as it provides a foundation in the analysis of data and the development of models.

Reading list

We've selected 17 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Integrated Analysis in Systems Biology.
This introductory textbook focuses on the design principles of biological circuits, providing a solid foundation for understanding the concepts discussed in the course. It is highly recommended for students seeking a deeper understanding of systems biology.
This highly accessible book introduces the key concepts of systems biology, making it a valuable resource for students new to the field. It provides a solid foundation for understanding the course material and exploring systems biology further.
This introductory textbook focuses on the mathematical modeling of biological systems, providing students with the necessary tools to understand and analyze complex biological phenomena.
Covers statistical and computational methods for analyzing biological data, complementing the course's focus on data analysis and interpretation
This advanced textbook covers statistical methods used in bioinformatics, which are essential for analyzing and interpreting biological data. Students interested in pursuing research in systems biology will find this book valuable.
This practical guide introduces students to bioinformatics and computational biology using the R programming language and Bioconductor, an open-source software platform. It provides hands-on experience in analyzing biological data.
Provides a comprehensive overview of bioinformatics tools and techniques, serving as a useful reference for the course's data analysis and interpretation components
Provides an overview of systems biology concepts and approaches, complementing the course's focus on integrative skills
This introductory textbook provides a foundation in bioinformatics, which is essential for analyzing and interpreting biological data in systems biology. Students will benefit from its coverage of sequence analysis, gene expression, and protein structure.
Introduces dynamical systems theory in biological contexts, providing foundational knowledge for understanding complex biological systems
Provides hands-on guidance on synthetic biology techniques, potentially expanding the scope of the course's practical component
Provides a comprehensive overview of systems biology. It would be a valuable resource for students taking the Integrated Analysis in Systems Biology course who want to learn more about the field.
Provides an overview of statistical bioinformatics, a field that is closely related to systems biology. It would be a helpful resource for students taking the Integrated Analysis in Systems Biology course who want to learn more about the statistical methods used in the field.
Provides an overview of bioinformatics and is written for researchers and students in the field.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to Integrated Analysis in Systems Biology.
Analyzing Digital Transformation Canvas for...
Less relevant
How to Use the Lean Canvas to Validate Your Business Model
Less relevant
MATLAB Parallel programming on GPUs, Cores and CPUs
Less relevant
Six Sigma Part 1: Define and Measure
Less relevant
Capstone: Create Value from Open Data
Less relevant
RA-GAP VAT Gap Estimation Model
Less relevant
Financial information and its analysis
Less relevant
Preparing to Secure Your Startup Funding with Pitch Canvas
Less relevant
Digital Competition in Financial Services
Less relevant
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser