Functional Genomics (BI4523)

Pre-requisite(s)

Molecular Genetics (BI-2423)

Introduction to Bioinformatics (BI-3423)

Proteome and Proteomics (BI-2513)

Recommended Book(s)

Genomics, Proteomics And Bioinformatics By Malcolm Campbell Et Al , 1 Edition, Published By CSHL Pres

Reference Book(s)

Introduction To Proteomics By Liebler Et Al. , 1st Edition, Published By Umana Press

Proteomics By Timothy Palzkill , 1st Edition, Published By Kluwer Academic

Course Objectives

This course focuses on casting contemporary problems in systems biology and functional genomics in computational terms and providing appropriate tools and methods to solve them. Topics include genome structure and function, transcriptional regulation, and stem cell biology in particular; measurement technologies such as microarrays (expression, protein-DNA interactions, chromatin structure); statistical data analysis, predictive and causal inference, experiment design.

Course Learning Outcomes (CLO)

  1. CLO: 1. Understanding scope and applications of functional genomics 
  2. CLO: 2. High throughput techniques in genomics
  3. CLO: 3. High throughput techniques in Proteomics
  4. CLO: 4. Data Acquisition and analysis of high throughput genomic and proteomic techniques
  5. CLO: 5. Bioinformatics solutions to various data analysis problems

Course Contents

  • Highthrouput techniques in genetics
  • 2D gel technology
  • Mass spectroscopy
  • NMR
  • Quantitative proteomics
  • Flouroscent Imaging Techniques
  • invivo techniques for assessing gene expression,
  • analysis/ visualization and issues with imaging
  • Quantitative RT PCR
  • Analysis Highthroughput techniques
  • NGS platforms
  • NGS applications
  • Exon sequencing
  • SNP Analysis
  • DNA microarray applications
  • Microarray Data analysis
  • ANOVA and gene clustering Bioinformatics,
  • working with single gene and annotation work flow
  • Annotation using Artemis
  • BLAST and its types
  • similarity searches and comparing two sequences
  • Aligning whole genome
  • sequence analysis
  • finding regulatory sequences
  • protein database,
  • modeling and alignment working with PDB
  • Building multiple alignment and visualization