Module 1: Basics of R-programming

• Getting Ready with R -introduction and installation
• Data Types, Variables, and Basic R Operations
• Algebraic and Logical Operations in R
• Function-buit-in and User defined
• Conditional statements
• Package installation from CRAN repository and Bioconductor
• Data manipulation with dplyr for biological datasets
• Importing and handling biological data formats
• Data Wrangling and Cleaning

Module 2: Biological Data Analysis

• Working with Sequence using Bioconductor
• Sequence Analysis with seqinr and biostring
• Sequence Statistical
• Handling Sequence Database
• Sequence Alignment

Module 3: Plots and Statistical Tests

• Statistical Test-t-test ,z-test and ANOVA
• Visualization using ggplot2
• Heatmap and Volcano plot
• Network analysis and visualization
• Phylogenetic tree structure
• Machine learning applications in genomics