Principles and fundamental concepts of bioinformatics for microbiological research; artificial Intelligence and machine learning concepts for biological data; biological data resources databases; basic biological data management; Linux/Unix environment usage and simple scripting for data formatting; analysis of microbial nucleotide and protein sequences; bioinformatics tools for sequence searching, alignment, and phylogenetic analysis; gene prediction and functional annotation; genome and metagenome analysis; principal component analysis (PCA), clustering, multiple hypothesis testing correction (Bonferroni correction), and false discovery rate (FDR); applications of bioinformatics in studying microbial diversity, evolutionary relationships, antimicrobial resistance mechanisms, and interpretation of bioinformatics data to support microbiological research.
- Teacher: Pharanai Sukhumungoon