This course covers High-throughput data analysis, RNA-seq data analysis, and Pathway and Network analysis. Students will learn skills such as genome alignment, variant calling, RNA-Seq analysis, pathway analysis, and network analysis. The teaching method includes integrated tutorials using popular bioinformatics analysis packages. The intended audience for this course includes individuals interested in bioinformatics, genomics, and high-throughput biology.
Overview
Syllabus
Introduction to High-Throughput Sequencing.
Data Visualization.
Genome Alignment.
Small Variant Calling and Annotation.
Structural Variant Calling.
De Novo Assembly.
Introduction to RNA Sequencing and Analysis.
RNA-Seq Alignment and Visualization.
Expression and Differential Expression.
Isoform Discovery and Alternative Expression.
Introduction to Pathway and Network Analysis.
Finding Over-Represented Pathways.
Cytoscape Inroduction and Enrichment Map.
More Depth on Network and Pathway Analysis.
Gene Function Prediction.
Gene Regulation Network Analysis.
Taught by
BioinformaticsDotCA
