Course Outcomes (COs):
Course Outcomes |
Learning and teaching strategies |
Assessment Strategies |
Upon completion of the course the learner will: CO 65: Acquire knowledge and understanding of fundamentals of genomics and proteomics, transcriptomics and metabolomics. CO 66: Apply the knowledge of genomics to identify and classify organisms using molecular markers. CO 67: Apply the knowledge of genomics to understand evolution of eukaryotes, track emerging diseases and design new drugs. CO 68: Determine gene functions and mine functional genes in genome CO 69: Apply the knowledge of proteomics to clinical and biomedical fields. |
Interactive Lectures, Discussion, Tutorials, Demonstrations, Assignments Reading Journals |
Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments, Presentation, Individual and group projects |
Brief overview of prokaryotic and eukaryotic genome organization; extra-chromosomal DNA: bacterial plasmids, mitochondria and chloroplast
Genetic and physical maps; markers for genetic mapping; methods and techniques used for gene mapping, physical mapping, linkage analysis, cytogenetic techniques, FISH technique in gene mapping, somatic cell hybridization, radiation hybrid maps, in situ hybridization, comparative gene mapping.
Human Genome Project, genome sequencing projects for microbes, plants and animals, accessing and retrieving genome project information from the web.
Identification and classification of organisms using molecular markers- 16S rRNA typing/sequencing, SNPs; use of genomes to understand evolution of eukaryotes, track emerging diseases and design new drugs; determining gene location in genome sequence.
Aims, strategies and challenges in proteomics; proteomics technologies: 2D-PAGE, isoelectric focusing, mass spectrometry, MALDI-TOF, yeast 2-hybrid system, proteome databases.
Transcriptome analysis for identification and functional annotation of gene, Contig assembly, chromosome walking and characterization of chromosomes, mining functional genes in genome, gene function- forward and reverse genetics, gene ethics; protein- protein and protein-DNA interactions; protein chips and functional proteomics; clinical and biomedical applications of proteomics; introduction to metabolomics, lipidomics, metagenomics and systems biology.
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