Course Length : Regular - 90 Days, Fastrack - 60 Days
Course Start : For Details Call +91 9247716307,
Limited seats per batch
Course Location : Hyderabad, India
Contact Us : Call +91 9247716307




  • Large scale genome sequencing strategies
  • Genome assembly and annotation
  • Genome databases of Plants, animals and pathogens
  • Prediction of genes, promoters, splice sites, regulatory regions:
  • basic principles, application of methods to prokaryotic and eukaryotic genomes and interpretation of results
  • Basic concepts on identification of disease genes,
  • Role of bioinformatics-OMIM database,
  • Reference genome sequence,
  • Integrated genomic maps,
  • Gene expression profiling;
  • Identification of SNPs, SNP database (DbSNP).
  • Role of SNP in Pharmacogenomics, SNP arrays
  • DNA microarray: database and basic tools,
  • Gene Expression Omnibus (GEO),
  • Array Express
  • SAGE databases
  • DNA microarray: understanding of microarray data,
  • normalizing microarray data,
  • detecting differential gene expression,
  • correlation of gene expression data to biological process
  • computational analysis tools (especially clustering approaches)

Comparative genomics:

  • Basic concepts and applications,
  • BLAST2, Mega Blast algorithms, PipMaker, AVID, Vista, MUMmer,
  • applications of suffix tree in comparative genomics,
  • synteny and gene order comparisons
  • Comparative genomics databases: Clusters of Orthologous Groups (COGs)

Functional genomics:

  • Application of sequence based and structure-based approaches to assignment of gene functions – e.g. sequence comparison,
  • structure analysis (especially active sites, binding sites) and comparison,
  • Pattern identification, etc.
  • Use of various derived databases in function assignment,
  • Use of SNPs for identification of genetic traits
  • Gene/Protein function prediction using Machine learning tools:
  • Supervised/unsupervised learning,
  • Neural network, SVM etc.


  • Protein arrays: basic principles
  • Computational methods for identification of polypeptides from mass spectrometry
  • Protein arrays: bioinformatics-based tools for analysis of proteomics data (Tools available at ExPASy Proteomics server);
  • databases (such as InterPro) and analysis tools
  • Secondary Structure and Backbone Conformation
  • Super-secondary structure
  • Side Chain Conformation
  • Tertiary Protein Structure and folds
  • SCOP and CATH: Short description of Fold Classification Servers
  • Quaternary Structure
  • Protein modelling with SWISS-MODEL
  • QMEAN Server
  • Protein Structure Visualization
  • Deep View - Swiss-PdbViewer
  • Protein-protein interactions: databases such as STRINGS, DIP, PPI server
  • Tools for analysis of  protein-protein interactions
  • Modeling biological systems
  • Systems biology – Use of computers in simulation of cellular subsystems
  • Metabolic networks, or network of metabolites and enzymes, Signal transduction networks,
  • Gene 2regulatory networks, Metabolic pathways: databases such as KEGG, EMP , MetaCyc, AraCyc


The Principles of genomic characterization and bioinformatics analysis of eukaryotes, including an overview of analytical platforms, computational tools, experimental design, analysis methods and databases used to study DNA sequence, gene expression and protein levels. This course will give a general understanding of the proteome, describe many of the different aspects of proteomics that have been developed recently, identify the technologic limitations related to proteomics, and will also include likely future directions for the field.


  • Ph.Ds in any science discipline
  • Postgraduates with specialization in any of the areas of molecular biology, genetics, microbiology, structural biology, genetics, chemistry, physics, statistics and biotechnology.
  • B. Pharm, M. Pharm, MBBS, MD, BE/B. Tech, ME/M.Tech etc.
  • Final year students of the above courses as a part of fulfilling their project work.
  • Students looking for Research opportunities abroad.
  • Research Scholars in any areas of life & chemical sciences.
  • Bachelors in Biotechnology, Microbiology, Bioinformatics, Life sciences, Biochemistry, Zoology, Botany and related discipline.

Course Goal

To organize the large amount of information about genomics, proteomics and bioinformatics and offer basic knowledge of genome sequencing, major differences between prokaryotic and eukaryotic genomes, basic proteomics and its applications, basics in bioinformatics, comparative and evolutionary genomics and applications.