Services

AI-assisted learning applications

1. Principles of Genetics
2. Python Programming for Bioinformatics
3. Laboratory of Python Programming for Bioinformatics
4. Biomedical Science and Humanity
5. Biological Data Science
6. Computational Biology
7. Molecular Cell Genetics
8. Molecular Biology and Biochemistry
9. Principles in Biology
10. General Botany
11. Academic English practice

Bioinformatics data analysis

1. Bioinformatics Basics (Nov-2024)
2. Analysis of NGS data
3. RNA structure and function prediction
4. Basic Bioinformatics for Systems Biology (Nov-2024)

R programming

1. Basic R programming
2. Basic statistical analysis with R
3. Basic R tutorial 2
4. Basic statistical analysis using R
5. Basic machine learning using R
6. R programming for graphical displays
7. Computational biology

Python programming

1. Basic Python programming reviews
2. Python modules in Bioinformatics
3. BioPython modules and basic algorithms
4. Regular expression with Python
5. Python programming for machine learning I
6. Python programming for machine learning II (supervised learning)
7. Machine learning and bioinformatics data analysis

Data science

1. Biological data science

KU SynBio Non-Degree Program

1. Research Practicals in Biological Data Science and Bioinformatics I