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BY19205                ADVANCED GENOMICSAND PROTEOMICS                      Category   L  T  P  C
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               Objectives:
                  Be familiar to the basic biology of modern genomics and the experimental tools that can be used to measureit.
                  Be able to discuss the key technological developments that enabled modern genomic and proteomic studies.
                  Understand principles and technologies for generating genomic information for biotechnological applications.

               UNIT-I     INTRODUCTION TO GENOME ANDGENESTRUCTURE                                          9
               Introduction: Genome, Genomics, Omics and importance, History of genome projects, Organization and structure of
               genomes in prokaryotes, eukaryotes, and organelles (chloroplast, mitochondrion); Genome mapping methods (Genetic
               Mapping –i)Cross breeding and pedigree analysis, ii)DNA markers – RFLPs, SSLPs, SNPs and Physical Mapping –
               Restriction mapping, Fluorescent in situ hybridization, Radiation hybrid mapping and Sequence tagged site mapping);
               Advances in gene finding and functionalprediction
               UNIT-II    LARGE SCALE GENOMICS/ FUNCTIONALGENOMICSANALYSES                                 9
                  Genome projects: The Human genome project, HapMap Project, The 1000 genome project, and The ENCODE
                  Project. Structural genomics: Assembly of a contiguous DNA sequence- shotgun method, clone contig method,
                  and  whole  –genome  shotgun  sequencing  ,Genome-wide  association  (GWA)  analysis;  Comparative  Genomic
                  Hybridization (CGH); Massively parallel Signature Sequencing (MPSS); Whole genome shot-gun sequencing
                  and its applications. Introduction of Next Generation Sequencing (NGS). Pharmacogenetics – High throughput
                  screening in genome for drug discovery-identification of gene targets, Pharmacogenetics and drugdevelopment
               UNIT-III   TRANSCRIPTOMICS                                                                  9
                  Gene expression analysis by cDNA and oligonucleotide arrays; DNA microarray: understanding of  microarray
                  (experimental analysis and data analysis), normalizing microarray data, detecting  differential gene expression,
                  correlation of gene expression data to biological process and computational analysis tools (especially clustering
                  approaches).Methylome analysis using microarray; ChIP-on Chip analysis. Bioinformatic analysis of large-scale
                  microarray data for comparativetranscriptomics.
               UNIT-IV    SEPARATION AND PROCESSING OF PROTEINSFORPROTEOMICS                               9
                  Over-view of strategies used for the identification and analysis of proteins; Protein extraction from biological
                  samples  (Mammalian  Tissues,  Yeast,  Bacteria,  and  Plant  Tissues);  2-DE  of  proteins  for  proteome  analysis;
                  Liquid chromatography separations in proteomics (Affinity, Ion Exchange, Reversed-phase, and size exclusion);
                  Enzymatic  cleavage  of  proteins.  Analysis  of  complex  protein  mixtures  using  Nano-liquid  chromatography
                  (Nano-LC) coupled to Mass-spectrometry analysis.
               UNIT-V     MASS SPECTROMETRY ANDCOMPARATIVEPROTEOMICS                                       9
                  Common  ionization  methods  for  peptide/protein  analysis;  Introduction  to  Mass  spectrometers;  MALDI-TOF
                  and LC-MS analyses; Comparative proteomics based on global in-vitro and in-vivo abelling of proteins/peptides
                  followed by Mass-spectrometry. Analysis of post translational modification (PTM) of proteins; Characterization
                  of  protein  interactions  using  yeast  two-hybrid  system  and  Protein  microarrays;  Proteomics  informatics  and
                  analysis of protein functions.
                                                                                   Total Contact Hours   :   45

               Course Outcomes:
                  Have basic knowledge about the methods used for genomics and proteomics.
                  Apply functional genomics techniques in thelaboratory
                  Familiar with how the methods are applied in real-life scientificresearch.
                  know where to access the immense volumes of –omicsdata
                   The students will acquire in-depth knowledge on the methods and approaches in genomics and proteomics
                
                   areas which help them to carry out cutting edge academic and industrialresearch.

               Text Book(s):
                1   S.P. Hunt and F. J. Livesey, (2000) FunctionalGenomics
                2   N. K. Spur, B. D. Young, and S. P. Bryant (1998) ICRF Handbook of Genome Analysis Volume 1 & 2
                3   G. Gibson and S. V. Muse (2002) A primer of GenomeScience
                4   R. J. Reece (2004) Analysis of Genes andGenomes
                5   Rinaldis E. D. And Lahm A (2007)DNA Microarrays. Horizonbioscience.
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