📚 Syllabus & Course Curriculum
Bioinformatics & Computational Biology
Module-by-module breakdown of Basics of Metabolomics Data Analysis, from foundations to a certified capstone project.
Outline
What is Metabolomics? • Importance of Metabolites in Biological Systems • Techniques for Metabolomics Data Generation (e.g., NMR, Mass Spectrometry) • Applications of Metabolomics in Disease, Drug Discovery, and Nutrition
Outline
Understanding Primary and Secondary Metabolites • Data Types in Metabolomics (Quantitative vs. Qualitative Data) • Introduction to Metabolite Identification and Annotation • Genomic and Transcriptomic Data vs. Metabolomics Data
Outline
Data Quality Control and Cleaning • Handling Missing Data and Outliers • Normalization and Scaling Methods in Metabolomics • Preprocessing Tools and Software (e.g., XCMS, MetaboAnalyst)
Outline
Exploratory Data Analysis (PCA, Clustering) • Differential Metabolite Analysis (t-tests, ANOVA) • Correlation and Network Analysis in Metabolomics • Data Visualization Techniques (Heatmaps, Volcano Plots, S-plots)
Outline
Metabolomics in Disease Research (Cancer, Metabolic Disorders) • Applications in Drug Development and Personalized Medicine • Emerging Trends in Metabolomics (Single-Cell Metabolomics, AI Integration) • Career Opportunities in Metabolomics and Systems Biology
Earn government-registered certification in Basics of Metabolomics Data Analysis
e-Certificate and e-Marksheet issued on successful completion.
