📚 Syllabus & Course Curriculum
Bioinformatics & Computational Biology
Module-by-module breakdown of Data-Driven Insights into Anaerobic Microbes: Bioinformatics Course, from foundations to a certified capstone project.
Metabolism
• Fermentation, anaerobic respiration and terminal electron acceptors
• Methanogenesis, sulphate reduction and acetogenesis pathways
• Thermodynamic constraints that govern which reactions proceed
Genomes
• Metagenome assembly and binning into MAGs
• Completeness and contamination assessment with CheckM
• Functional annotation against KEGG, Pfam and CAZy
Pathways
• Pathway reconstruction from annotated genomes and its inference gaps
• Predicting syntrophic exchange between community members
• Distinguishing genomic potential from expressed activity
Modelling
• Genome-scale metabolic models and flux balance analysis
• Community-level modelling and shared metabolite pools
• Kinetic models of digester performance and stability
Application
• Biogas and digester optimisation informed by community function
• Process instability: acidification, ammonia inhibition and early indicators
• Linking model predictions to operational control decisions
Earn government-registered certification in Data-Driven Insights into Anaerobic Microbes: Bioinformatics Course
e-Certificate and e-Marksheet issued on successful completion.
