Gene Expression Analysis Science Project (Step by Step)
Requirements
- High School General Biology
- Basic Computer Knowledge
- Interest in Research or Completing a Science Project
Description
This FREE course is perfect for teens curious about biotechnology and eager to conduct a virtual science project with original findings.
It takes LESS THAN TWO HOURS!
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.
Who this course is for:
- Middle and high school students interested in completing an original computational biology science project
- Students interested in bioinformatics and computational biology
Instructor
![Andrew Gao](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.0 Instructor Rating
- 235 Reviews
- 16,407 Students
- 1 Course
Andrew is an avid researcher and is the founder and CEO of the world's largest community and nonprofit of youth researchers, The Helyx Initiative.
He is a 2020 ISEF Finalist, one of only 3 students with life sciences projects from San Diego to qualify. He has also been published as first author in a peer-reviewed Elsevier Journal with Impact Factor 2.9 (around top 25% of journals).
Andrew has research experience in gene expression analysis, DNA methylation, disease diagnosis, and more. He has taught at several educational research camps and programs, like Helyx's Bioinformatics Camp.
Background:
1. First author publication in Microbial Pathogenesis
2. 2020 ISEF Finalist
3. San Diego Science Fair 1st Place in Medicine/Health Sciences
4. Kaiser Permanente Award
5. IRIC Insposcience Silver Medal
6. 3 year intern at UCSD Supercomputer Center
7. Summer intern at the Scripps Institute for bioinformatics tool development
8. Founder and CEO of The Helyx Initiative