PSC6150

1. Describe the foundations of bioinformatics & computational biology, and explain their roles in agriculture, big data science, precision biology, and functional genomics. Explain the structure, function, and use of major biological databases.
2. Understand the principles of diverse OMICS data types (RNA-seq, single cell RNA-seq, SNP-seq, ChIP-seq, GBS-seq, Methyl-seq, miRNA-seq, Metagenomics, Genome assembly, etc.), and sequence analysis in systems biology.
3. Data Science & Big Data Competencies: To gain hands-on experience in Linux OS and High-Performance Computing in parsing and workflow automation for biological data processing. Briefly explain the applications of Machine Learning in modern biology.
4. Analyze big OMICS datasets: Pick one topic from diverse OMICS data types (RNA-Seq); and train the students in developing a reproducible computational workflow. Quality control, read mapping, quantification, differential expression, annotation.
5. Interpret and Communicate biological insights: Draw biologically meaningful conclusions from complex multidimensional datasets, e.g. explain how to interpret differential expression, clustering, annotation, enrichment, and pathway analyses. Applications in agriculture, health, and biological sciences.