Course Title: 
Bio Informatics
Course Code: 
Year Taught: 
Postgraduate (PG)
School of Arts and Sciences
School of Engineering

'Bio Informatics' is a course offered in M. C. A. (Master of Computer Applications) program at Amrita Vishwa Vidyapeetham.

Introduction to Bioinformatics: Definition - Importance and Uses of Bioinformatics-Information Technology - Systems Biology.

Introduction to Nucleic Acids: DNA and RNA as Genetic Materials - Structure of Nucleic Acids - Nucleosides and Nucleotides - DNA Double Helix. Central Dogma of Molecular Biology - Nature of Genetic Code - Deciphering Genetic Code - Wobble Hypothesis - Universalities and Exceptions. Applications of Data Mining to Bioinformatics Problems - Biological Data – Databases -Protein Sequencing - Nucleic Acid Sequencing - Sequence to Structure Relationship.

Bioinformatics Software: Clustal V - Clustal W 1.7 - RasMol – Oligo – Molscript – Treeview – Alscript - Genetic Analysis Software- Phylip.

Biocomputing: Introduction to String Matching Algorithms - Database Search Techniques -Sequence Comparison and Alignment Techniques - Use of Biochemical Scoring Matrices –Introduction to Graph Matching Algorithms - Automated Genome Comparison and its Implication - Automated Gene Prediction - Automated Identification of Bacterial Operons and Pathways - Introduction to Signaling Pathways and Pathway Regulation. Gene Arrays - Analysis of Gene Arrays - Machine Learning Methods in Bioinformatics - Hidden Markov models - Applications of HMM in gene identification and Profiles HMMs - Neural Networks and Support Vector machines.

  • Claverie J.M and Notredame C, “Bioinformatics for Dummies”, Second Edition,Wiley, 2003.
  • Pierre Baldi and Soren Brunak, “Bioinformatics - The Machine Learning Approach”, Second Edition,A Bradford Book, 2001.
  • RastogiS.C, Mendiratt N. and Rastogi P “Bioinformatics: Concepts, Skills & Applications”, CBS Publishers & Distributors, 2004.
  • Fogel G.B. and Corne D.W, “Evolutionary Computation in Bioinformatics”, Morgan Kaufmann, 2003.