Explore a comprehensive 15-hour workshop series introducing R and Python programming for bioinformatics to high school students in STEM programs. Dive into R programming fundamentals, data visualization techniques, statistical analysis, and computational biology applications, including single-cell RNA sequencing. Transition to Python programming essentials and deconvolution analysis. Access accompanying code and educational materials on GitHub. Learn from expert instructors at Indiana University School of Medicine's Center for Computational Biology and Bioinformatics in this STEM program-sponsored workshop designed to nurture future scientists.
STEM Workshop - Introduction of R-Python Programming and Bioinformatics to High School Students
Indiana University via YouTube
Overview
Syllabus
Introduction of R programming 1.
Introduction of R programming 2.
Introduction of R programming 3.
Introduction of R programming 4.
Introduction of R programming 5 - R Visualization 1.
Introduction of R programming 6 - Statistical Analysis 1.
Introduction of R programming 7 - R visualization 2.
Introduction of R programming 8 - Examples of Computational Biology analysis 1.
Introduction of R programming 9 Single cell RNA seq data analysis.
Introduction of Python programming 1.
Introduction of Python programming 3.
Introduction of Python programming 2.
Introduction of Python programming 4.
Introduction of Python programming 5.
Introduction of Deconvolution analysis.
Taught by
IUSM-CCBB
