Our Training Programs
World-class professional certification courses in Food Safety, Quality, Science, Technology & Agriculture
About This Course
The Bioinformatics, Genomics, Multi-Omics & Computational Biology Training Course is a premium, competency-based programme designed to equip researchers, scientists, bioinformaticians, clinicians, agricultural professionals, and biotechnology specialists with advanced competencies in bioinformatics, genomics, computational biology, multi-omics, next-generation sequencing (NGS), whole genome sequencing (WGS), transcriptomics, proteomics, metabolomics, metagenomics, microbiome analysis, systems biology, artificial intelligence (AI), and biological data science. Participants develop practical expertise in biological databases, Linux, Python, R, cloud computing, high-performance computing (HPC), genome assembly, variant analysis, phylogenomics, pathway analysis, multi-omics integration, and AI-assisted biological data analysis. Through hands-on computational laboratories, real sequencing datasets, multidisciplinary case studies, and capstone projects, participants gain the capability to analyse complex biological data, accelerate scientific discovery, support precision medicine, precision agriculture, One Health, biotechnology innovation, and evidence-based biological research.
What You’ll Learn
- Develop expertise in bioinformatics, genomics, computational biology, and multi-omics analysis using modern computational tools and internationally recognized analytical workflows.
- Apply next-generation sequencing (NGS), whole genome sequencing (WGS), transcriptomics, proteomics, metabolomics, metagenomics, and microbiome analysis to solve complex biological, agricultural, food systems, and health research challenges.
- Build reproducible bioinformatics pipelines using Linux, Python, R, workflow management systems, cloud computing, and high-performance computing (HPC).
- Integrate artificial intelligence (AI), machine learning, systems biology, and biological data science to improve biological interpretation, biomarker discovery, predictive modelling, and precision decision-making.
- Lead multidisciplinary genomics and multi-omics projects supporting precision medicine, precision agriculture, biotechnology innovation, One Health, and translational research.
Course Curriculum
- Principles of Bioinformatics and Computational Biology
- Molecular Genetics, Genomics and Genome Organization
- Biological Databases and Genomic Resources (NCBI, Ensembl, UniProt)
- Bioinformatics Workflows and Research Reproducibility
- Applications Across Health, Agriculture, Food Systems and One Health
- Linux Command Line for Bioinformatics
- Bash Scripting and Workflow Automation
- Python Programming for Biological Data Analysis
- R Programming for Bioinformatics and Biostatistics
- Git, GitHub and Reproducible Bioinformatics Research
- Next-Generation Sequencing Technologies
- Whole Genome Sequencing (WGS) and Whole Exome Sequencing (WES)
- Sequence Quality Control and Read Processing
- Genome Assembly and Genome Annotation
- Variant Calling, SNP Analysis and Structural Variants
- Comparative Genome Analysis
- Population Genetics and Population Genomics
- Phylogenetics and Phylogenomics
- Evolutionary Genomics and Molecular Epidemiology
- Pathogen Genomics and Genomic Surveillance
- RNA Sequencing (RNA-Seq)
- Differential Gene Expression Analysis
- Functional Annotation and Gene Ontology
- Regulatory Genomics and Epigenomics
- Single-Cell Genomics and Spatial Transcriptomics
- Quantitative Proteomics
- Metabolomics and Metabolic Pathway Analysis
- Lipidomics and Emerging Omics Technologies
- Multi-Omics Data Integration
- Systems Biology and Network Biology
- Shotgun Metagenomics and Amplicon Sequencing
- Microbiome Profiling and Diversity Analysis
- Functional Metagenomics
- Environmental and Food Microbiome Bioinformatics
- One Health and Microbial Ecosystem Analytics
- Artificial Intelligence in Bioinformatics
- Machine Learning for Genomic Prediction
- Biomarker Discovery and Predictive Modelling
- Natural Language Processing for Biological Literature
- Explainable AI and Precision Biology
- Precision Medicine and Genomic Healthcare
- Pharmacogenomics and Personalized Therapeutics
- Precision Agriculture and Digital Breeding
- Food Systems Genomics and Food Safety Applications
- One Health Genomics and Integrated Disease Surveillance
- High-Performance Computing (HPC) for Bioinformatics
- Cloud Bioinformatics Platforms
- Workflow Management Systems (Nextflow, Snakemake, Galaxy)
- Containerization Using Docker and Singularity
- FAIR Data Principles and Open Science
- Long-Read Sequencing and Third-Generation Genomics
- CRISPR Bioinformatics and Functional Genome Engineering
- Synthetic Biology and Digital Biotechnology
- Digital Twins for Biological Systems
- Future Trends in AI, Computational Biology and Multi-Omics
- Designing an End-to-End Bioinformatics Analysis Pipeline
- Performing Multi-Omics Integration and Biological Interpretation
- Developing an AI-Enabled Genomic Decision Support Workflow
- Presenting Reproducible Computational Biology Results and Scientific Reports
- Executive Capstone Presentation: Bioinformatics, Genomics and Multi-Omics Solutions for Precision Medicine, Precision Agriculture and One Health
Who Should Attend
- Researchers, academics, postgraduate students, and laboratory scientists working in life sciences and biomedical research.
- Bioinformaticians, computational biologists, geneticists, and molecular biologists analysing genomic and biological datasets.
- Healthcare, public health, veterinary, agriculture, food systems, and environmental professionals applying genomics and precision technologies.
- Biotechnology, pharmaceutical, diagnostics, and genomics industry professionals developing innovative biological solutions.
- Government agencies, research institutes, NGOs, and international organizations implementing genomics, One Health, and biological surveillance programmes.
Prerequisites
- The programme is suitable for both emerging and experienced professionals seeking advanced competencies in bioinformatics, genomics, computational biology, and multi-omics data analysis.
- Previous experience with Linux, programming, or sequencing technologies is beneficial but not essential.
Key Benefits
- Master bioinformatics, genomics, computational biology, and multi-omics analysis using globally recognized computational tools and sequencing technologies.
- Develop expertise in NGS, WGS, transcriptomics, proteomics, metabolomics, microbiome analysis, and systems biology to generate high-impact scientific discoveries.
- Build scalable computational workflows using Linux, Python, R, cloud computing, high-performance computing (HPC), and workflow automation.
- Apply artificial intelligence (AI), machine learning, and biological data science to accelerate genomic analysis, biomarker discovery, precision medicine, and precision agriculture.
- Strengthen career opportunities across biomedical research, agriculture, food systems, pharmaceuticals, biotechnology, environmental science, genomics, and international research organizations.
Delivery Technique
- Expert-led bioinformatics masterclasses integrating genomics, computational biology, and multi-omics.
- Hands-on computational laboratories using Linux, Python, R, Galaxy, command-line tools, and cloud-based bioinformatics platforms.
- Interactive sequencing data analysis workshops using real-world genomic and multi-omics datasets.
- Collaborative case studies spanning precision medicine, agriculture, food systems, biotechnology, and One Health.
- Executive capstone project focused on developing an end-to-end bioinformatics and multi-omics analytical pipeline.