Day 4: Exploratory Data Analysis (EDA) Understanding Your Biological

Recorded Lectures

Day 1: Getting Started with Python and R Python vs. R for Biological Data Analysis Installing Python, R, and Required Libraries (64:16)
Day 2: Data Import and Manipulation Working with Biological Data Formats Basic Data Manipulation with Python and R (30:23)
Day 3: Data Visualization Introduction to Data Visualization Creating Basic Plots with Matplotlib (Python) and ggplot2 (R) (60:31)
Day 4: Exploratory Data Analysis (EDA) Understanding Your Biological Data EDA Techniques in Python and R (39:54)
Day 5: Introduction to Bio Python What is Bio Python? Basic Bio Python Functions for Sequence Analysis (35:09)
Day 6: Sequence Alignment Introduction to Sequence Alignment Pairwise Sequence Alignment with Bio Python (66:18)
Day 7: Multiple Sequence Alignment Multiple Sequence Alignment with Bio Python Sequence Alignment Tools and Techniques (57:22)
Day 8: Phylogenetic Analysis Building Phylogenetic Trees Tree Visualization and Interpretation (59:30)
Day 9: Sequence Feature Analysis Identifying and Annotating Sequence Features Sequence Motif Search with Bio Python (59:30)
Day 10: Protein Structure Analysis Introduction to Protein Structure Analysis Using Bio Python for Protein Structure Data (60:36)
Day 11: Clinical Data Preprocessing Cleaning and Organizing Clinical Data Handling Missing Data (57:15)
Day 12: Survival Analysis Introduction to Survival Analysis Kaplan-Meier Estimator and Cox Proportional Hazards Model in R (57:22)
Day 13: File Parsing and Data Retrieval Reading and Writing FASTA Files Parsing GenBank Files (52:27)
Day 14: CADD data analysis using Python and BioPython Working with molecular structures and visualization for drug designing Analyzing drug bioactivity data to screen potential drug candidate (60:42)
Day 15: Project and Presentation Applying Biological Data Analysis in a Research Project (57:56)

Day 4: Exploratory Data Analysis (EDA) Understanding Your Biological Data EDA Techniques in Python and R