What you'll learn:
- Bioinformatics
- Gene Expression
- Computational Biology
- Network Analysis
- GEO2R
- STRING Network Analysis
- KEGG Pathways
- Microarray
- Proteins
- DNA
- RNA
- Transcriptomics
- Research
- Biotechnology
- Python
- Programming
This FREE course is perfect for teens curious about biotechnology and eager to conduct a virtual science project with original findings.
It takes LESSTHANTWOHOURS!
You will learn how to use tools like GEO2R, StringDB, PantherDB, and more to analyze publicly available gene expression data!
The course will guide you on choosing a research topic, finding a dataset, processing the data, and analyzing the data graphically. As a bonus, you will get insight into how to write a paper about your project.
Example topics for research include:
Identifying potential biomarkers for cancer (useful in diagnostics)
Analyzing changes in gene expression when a sample is treated with X drug or under Y condition
Differences in gene expression between early and late stage cancer (useful in prognosis and drug development)
The example project being done in this course is for identifying blood biomarkers for early stage Parkinson's disease.
Materials needed:
1. Computer
2. Google Account or Excel
3. Internet Connection
If there is enough interest, another course will be created that features gene expression analysis with machine learning, Python, R, and other computer science techniques.
