| Attribute | Detail |
|---|---|
| Format | Recorded Lectures |
| Level | Advanced |
| Duration | 3 Days (1.5 Hours Per Day) |
| Certification | e-Certification + e-Marksheet |
| Fee | Free |
| Tools | NCBI GenBank CARD BLAST Genome Annotation Pipelines Python R TensorFlow Scikit-learn MATLAB/Simulink AnyLogic |
About the Bioinformatics-Driven Insights into Antimicrobial Resistance & HGT with Digital Twin-Based Bioreactor Design Course
Bioprocess engineering and fermentation are central to pharmaceuticals, biofuels, food technology, and enzyme production.
Maintaining optimal bioreactor conditions is complex; digital twins—virtual replicas of physical systems—enable real‑time simulation, predictive control, and AI‑driven optimization. This 3‑day intensive course guides you through dry‑lab workflows to build simplified digital twin models, integrate antimicrobial‑resistance (AMR) data, and design smart biomanufacturing systems for Industry 4.0.
Program Highlights
• Comprehensive coverage of Bioinformatics from fundamentals to advanced applications
• Hands-on projects and real-world case studies in biotechnology
• Expert-curated curriculum aligned with current industry standards
• Access to recorded lectures and e-LMS platform for flexible, self-paced learning
• e-Certification and e-Marksheet upon successful completion
• Dedicated mentor support and interactive doubt-clearing sessions
• Practical experience with tools: NCBI GenBank, CARD, BLAST, Genome Annotation Pipelines
• Career-oriented training for academic and professional growth in biotechnology
Course Curriculum
Module 1: Day 1 – Foundations of AMR, HGT & Bioinformatics Tools
- Explore global burden and clinical significance of Antimicrobial Resistance
- Identify mechanisms of resistance and key pathogenic species
- Examine Horizontal Gene Transfer pathways and mobile genetic elements
- Navigate NCBI GenBank, CARD, BLAST, and annotation pipelines
Module 2: Day 2 – Advanced Bioinformatics & Systems Integration
- Perform genomic and metagenomic analyses for AMR surveillance
- Construct whole‑genome sequencing (WGS) workflows
- Apply network biology and phylogenetics to track gene flow
- Build predictive models of resistance spread
Module 3: Day 3 – Bioreactor Design & Optimization Using Digital Twins
- Model microbial growth kinetics and key fermentation parameters
- Create digital‑twin based bioreactor simulations
- Integrate real‑time AMR data into process control loops
- Apply AI/ML algorithms for predictive control and anomaly detection
Tools, Techniques, or Platforms Covered
NCBI GenBank CARD BLAST Genome Annotation Pipelines Python R TensorFlow Scikit-learn MATLAB/Simulink AnyLogic
Real-World Applications
- Apply Bioinformatics skills directly to academic research, thesis work, and publications
- Build a professional portfolio showcasing practical biotechnology competencies
- Solve industry-relevant problems using Bioinformatics methodologies and tools
- Contribute to open-source projects and collaborative research in biotechnology
- Prepare for competitive examinations, interviews, and professional certifications in biotechnology
Who Should Attend & Prerequisites
- Industry‑recognized e‑Certification + e‑Marksheet from NSTC
- Hands‑on training with practical projects and industrial datasets
- Dedicated expert mentorship and doubt resolution
Certification
