Course Length : Regular - 30 Days, Fastrack - 20 Days
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Course Location : Hyderabad, India
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Introduction to Bioinformatics
  Bioinformatics and its relation with molecular biology.
  Applications of bioinformatics

Open access bibliographic resources and literature databases:
  Open access bibliographic resources related to Life Sciences viz., PubMed,Pubmed
  Central,Sciencedirect, BioMed Central, Public ibrary of Sciences (PLoS)

Sequence databases
  Formats, querying and retrieval
  Nucleic acid sequence databases: GenBank, EMBL, DDBJ;
  Protein sequence databases: Uniprot-KB: SWISS-PROT, TrEMBL, PIR-PSD
  Repositories for high throughput genomic sequences: EST, STS GSS, etc.;
  Genome Databases at NCBI, EBI, TIGR, SANGER
  Structure classification database: CATH,SCOP, FSSP
  Viral Genomes
  Bacterial and Archeal Genome

3D Structure Database: PDB, NDB
  Chemical Structure database: Pubchem,Drugbank,Chemspider etc

Sequence Analysis
File formats:
  Various file formats for bio-molecular sequences: GenBank, FASTA, GCG, MSF etc

Basic concepts:
  Sequence similarity, identity and homology, definitions of homologues,   orthologues,paralogues,Gap and Gap Penalities

Pairwise sequence alignments:
  Basic concepts of sequence alignment: local and global alignments, Dotmatrix analysis
  Needleman Wunsch and Smith and Waterman algorithms
  Sequence based searches-BLAST and FASTA

Multiple sequence alignments (MSA):
  Basic concepts of various approaches for MSA (e.g. progressive, hierarchical etc.).
  Algorithm of CLUSTALW and PileUp and their application
  Concept of dandrogram and its interpretation

Taxonomy and phylogeny:
  Basic concepts in systematics, taxonomy and phylogeny
  Molecular evolution; nature of data used in Taxonomy and Phylogeny, Definition and description of phylogenetic trees and various types of trees.
  Trace residues analysis

Protein and nucleic acid properties:
  Computation of various parameters using proteomics tools at the
  ExPASy server and EMBOSS

  Genome Annotation
  Gene Finding Methods
  Gene prediction
  Analysis and prediction of regulatory regions
  Fragment assembly
  Genome sequence assembly
  Restriction Mapping
  Repeat Sequence finder
  Primer Designing
  Build Nucleic Acid structure
  Concepts of secondary structure prediction of RNA

  Principles of protein structure
  Peptide bond, phi, psi and chi torsion angles, ramachandran map,
  Hydrophobicity and Hydrophilicity of amino acids
  Hierarchical organization of protein structure – Primary. Secondary,
  Tertiary and Quaternary structure
  X-ray and NMR techniques

Classification and comparison of Protein 3D structures
  Purpose of 3-D structure comparison and concepts,
  Concept of Co-ordinate transformation,
  RMSD, Z-score for structural comparision
  Databases of structure-based classification; CATH, SCOP and FSSP
  Algorithms : CE, VAST and DALI

Secondary Structure Prediction
  Algorithms viz. Chou Fasman, GOR methods
  Nearest neighbor and machine learning based methods
  Analysis of results and measuring the accuracy of predictions.

Tertiary Structure Prediction
  Fundamentals of the methods for 3D structure Prediction
  Homology/comparative Modeling
  Fold recognition
  Threading approaches, and ab initio structure prediction methods



We provide an introduction and overview of the current state of the field. We discuss the main principles that underpin bioinformatics analyses, look at the types of biological information and databases that are commonly used, and finally examine some of the studies that are being conducted, particularly with reference to transcription regulatory systems.


  • 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

Apply a variety of skills to the processing, storage, analysis and modeling of many types of biological data.

Provide valuable insights into the understanding of complex biological systems and their quantitative data.

Positively impact research projects in the corporate and academic sectors.

Effectively communicate and present bioinformatics analysis to multidisciplinary project teams