Transcriptomics and Proteomics course contains the information about the techniques (such as experimental and computational) used in analyses of both transcrptomes and proteomes. Actually there are two sections in this course. Section-A is for transcriptomics which includes introduction to procaryotic and eukaryotic transcription and gene expression with their regulations; methods used to study comparative gene expression such as RT-PCR, qRTPCR, differential display RT-PCR, cDNA micro-array, Northern blotting; experimental methods- RNA-seq, miRNA-seq, miRNA-micro-array and some computational methods. Section-B is for Proteomics which includes introduction to proteomics; experimental methods- cell disruption methods, protein isolation methods, protein purification methods, protein characterization methods and computational methods- proteomics databases, PPI database, proteomic software and proteomic tools- protein identification tools, protein characterization tools, proteomic data analysis tools, PTM analysis tools etc.
This course will enable the students to understand the basic concepts of modern techniques of drug discovery and design and appreciate success stories of drugs developed using modern methods
This course will introduce the students to applications of computtional biolology and bioinformatics for archiving, processing and analyzing the structures of biomolecules such as proteins, DNA and RNA. The major components of the course include
- Computational methods for prediction of secondary and tertiary structures of proteins,
- protein structure alignments,
- Computational methods for identification of binding pockets in protein structures,
- Computational methods for prediction of RNA structures
- Derived databases for protein structure classification
- Structure-based function prediction
This course will enable students to understand genome organisation, packaging, genome sequencing, assembly and annotation.