Unit 1: INTRODUCTION TO OMICS
8 hrsOverview of genomics, transcriptomics, and proteomics; role of AI in biological data analysis and Omics.
Overview of genomics, transcriptomics, and proteomics; role of AI in biological data analysis and Omics.
Genome sequencing, gene prediction, variant calling; AI tools for genome annotation (DeepVariant, AUGUSTUS, GENSCAN).
RNA-Seq data analysis, expression profiling, clustering and classification differential gene expression prediction. Role of AI in Transcriptomics.
Protein identification, quantitation, and structure prediction. Role of AI in Proteomics.
Multiomics – Combination of data from genomics, proteomics, transcriptomics and metabolomics, AI in healthcare, diagnostics and personalized medicine.
After completion of the course student will be able to:
This subject is on page 7, 8, 9 of the original AKTU PDF.