Programme Parameters
Graduate / Intermediate
3 Days (4.5 Hrs)
Online (e-LMS)
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
Anaerobic microbes play vital roles in diverse ecosystems, ranging from the human gut to extreme industrial bioreactors. Their unique metabolic capabilities make them key players in bioenergy production, waste treatment, and health. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
Anaerobic microbes play vital roles in diverse ecosystems, ranging from the human gut to extreme industrial bioreactors. Their unique metabolic capabilities make them key players in bioenergy production, waste treatment, and health.
📋 Course Objectives
1. Apply bioinformatics methods to authentic research and industry problems.
2. Produce a reproducible, portfolio-ready project you can cite in a thesis, paper, or job application.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in bioinformatics
• R&D engineers and working professionals applying bioinformatics in industry
• Academics and educators building research or teaching capacity in bioinformatics
🚀 Key Learning Outcomes
• A portfolio-grade bioinformatics deliverable you can defend and extend.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Anaerobic Energy Conservation
• Fermentation, anaerobic respiration and terminal electron acceptors
• Methanogenesis, sulphate reduction and acetogenesis pathways
• Thermodynamic constraints that govern which reactions proceed
Recovering and Annotating Genomes
• Metagenome assembly and binning into MAGs
• Completeness and contamination assessment with CheckM
• Functional annotation against KEGG, Pfam and CAZy
Reconstructing Metabolic Capability
• Pathway reconstruction from annotated genomes and its inference gaps
• Predicting syntrophic exchange between community members
• Distinguishing genomic potential from expressed activity
Constraint-Based and Kinetic Models
• Genome-scale metabolic models and flux balance analysis
• Community-level modelling and shared metabolite pools
• Kinetic models of digester performance and stability
Engineering Anaerobic Processes
• Biogas and digester optimisation informed by community function
• Process instability: acidification, ammonia inhibition and early indicators
• Linking model predictions to operational control decisions
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Python |
| Covered Tool / Platform | R/Bioconductor |
| Covered Tool / Platform | BLAST |
| Covered Tool / Platform | Biopython |
| Covered Tool / Platform | Galaxy |
| Covered Tool / Platform | UniProt |
| Covered Tool / Platform | NCBI |
| Covered Tool / Platform | PyMOL |
Frequently Asked Questions
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