Learning Objectives # BIOL620 4 Credits Fundamentals of Bioinformatics Bioinformatics (topics including sequence alignment algorithms, scoring matrices, microarray analysis, phylogenetic analysis, bootstrapping, tree building, secondary & tertiary structure prediction, homology modeling, and protein folding)], visualization: heat maps, volcano plots, pie charts, Sequence alignments (Margaret Dayhoff, PAM, blossom scoring matrices, global & local alignment). Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis. Youtube Teaching Channel:

Bioinformatics: Bioinformatics: Bioinformatics: Bioinformatics: Bioinformatics: Bioinformatics: Bioinformatics: Bioinformatics: Bioinformatics:

Phylogenetic Analysis: https://github.com/spawar2/BTEC-620-Spring-2023/blob/main/Phylogenetic-Analysis.R Link Github: Blast, Sequence alignments (Margaret Dayhoff, PAM, Blossom scoring matrices, global & local alignment): https://youtu.be/Lx1jkr3UKwA BIOL620 (4 credit) Spring 2023 (2 students) *Graduate Class (Masters & Ph.D. Level)