M.Sc., Bioinformatics (CBCS)
(For the students admitted during the academic year 2004-2005)
Scheme of examination
(With project work) - (CBCS – Bharathiar University Department)

Semester I:

Paper I: Fundamentals of Biological systems
Includes Cell Biology, Cell Energetics and Respiration, Intermediary Metabolism, Enzyme Kinetics, Cell Cycle, Molecules of life, Fundamentals of Genetics, Immunology, Life diversity and Evolution and Biology of Environment.

Paper II: Programming in Visual Basic with RDBMS
Includes E-R Model, Network Data Model, Hierarchical Data Model, Introduction to Distributed Database processing, Oracle, PL/SQL programs, Visual Basic – various features, introduction to Client Server Technology, functions, Data Connectivity.

Paper III: Computer programming in C, C++ and PERL
Includes principles of Computing, Computer Hardware, System Software, Applications of Software, Programming in C, Project oriented Programming with C++, Algorithm design and analysis, Linux – Basic commands, X-windows, file systems, Command shells, networking, PERL, BIOPERL.

Paper IV: Computational methods for Sequence Analysis
Analysis of DNA and protein sequence, sequence alignment – scoring matrices, Local and Global alignment concepts, Dynamic programming methodology, msa's, Database searches for Homologous alignment, Evolutionary analysis, Fragment assembly, Neural network, HMM, Gene identification and other methods.

Paper V: Mathematical and Statistical Techniques
Calculus, Integration, Series, Ordinary Differential Equations, Partial Differential Equations, 2D Geometry, 3D Geometry, Trigonometric Functions, Vector Algebra, Matrix Algebra, Mean, Median , Mode, Variance, Moments, Covariance, Correlation, Continuous random variables, Distribution function, Density function, Normal, Chi-squared, Students T, Central Limit theorem, Law of Large numbers, Multivariate analysis, Hypothesis Testing, Nature of Biological and Clinical experience and data classification, tabulation, charts, Diagrams, Histograms, tresnency curves, Measures of Averages and Dispersion.

Practical I: Biological databases
Biological databanks, Data retrieval tools and methods, Database file formats, Molecular visualization.