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AKTU Fundamentals of Omics (BBI502) Syllabus PDF – B.Tech 3rd Year
Fundamentals of Omics BBI502
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- Semester 5
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Official AKTU syllabus of Fundamentals of Omics (BBI502) for B.Tech 3rd Year – 4 credits, L-T-P 3-1-0. Read the unit-wise course content, course outcomes, evaluation pattern and recommended books online, or download the PDF.
Syllabus — Fundamentals of Omics
Download PDFBBI502 · 4 credits · L-T-P 3-1-0
Course Outcomes
At the end of the course, the student will be able to:
| CO1 | Explain foundational Omics concepts and the role of AI in biological data analysis. | K2 |
| CO2 | Apply AI tools for gene annotation of genome-sequencing data. | K3 |
| CO3 | Implement RNA-Seq pipelines and predict differential gene expression using AI. | K3 |
| CO4 | Explain protein identification methods and AI models for structure prediction. | K2 |
| CO5 | Apply AI-based integration of multiomics datasets for personalized healthcare solutions. | K3 |
Course Content
L-T-P: 3-1-0
| Unit | Topic | Proposed Lecture |
|---|---|---|
| I | INTRODUCTION TO OMICS: Overview of genomics, transcriptomics, and proteomics; role of AI in biological data analysis and Omics. | 08 |
| II | GENOMICS: Genome sequencing, gene prediction, variant calling; AI tools for genome annotation (DeepVariant, AUGUSTUS, GENSCAN). | 08 |
| III | TRANSCRIPTOMICS: RNA-Seq data analysis, expression profiling, clustering and classification differential gene expression prediction. Role of AI in Transcriptomics. | 08 |
| IV | PROTEOMICS: Protein identification, quantitation, and structure prediction. Role of AI in Proteomics. | 08 |
| V | MULTIOMICS DATA INTEGRATION: Multiomics – Combination of data from genomics, proteomics, transcriptomics and metabolomics, AI in healthcare, diagnostics and personalized medicine. | 08 |
Text Books
- Andreas Baxevanis & B.F. Ouellette, Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins, Wiley.
- S.C. Rastogi et al., Bioinformatics: Methods and Applications, Springer.
- Stuart Russell & Peter Norvig, Artificial Intelligence: A Modern Approach, Prentice Hall.
- David Mount, Bioinformatics: Sequence and Genome Analysis, Cold Spring Harbor Laboratory Press.
- S.C. Rastogi, Namita Mendiratta, Parag Rastogi, Bioinformatics: Methods and Applications – Genomics, Proteomics and Drug Discovery.
- Singh, Bioinformatics: Genomics and Proteomics.
- Devarajan Thangadurai, Jeyabalan Sangeetha, Genomics and Proteomics.
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