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Course Detail

Course Name Bioinformatics
Course Code 15CSE335
Program B. Tech. in Computer Science and Engineering
Year Taught 2019


Unit 1

Introduction: The Central Dogma – Killer Application – Parallel Universes – Watson’s Definition – Top-Down vs Bottom-Up Approach – Information Flow – Conversance – Communications. Database and Networks: Definition – Data Management – Data Life Cycle – Database Technology – Interfaces – Implementation – Networks: Communication Models – Transmission Technology – Protocols – Bandwidth – Topology – Contents – Security – Ownership – Implementation.

Unit 2

Search Engines and Data Visualization: Search Process – Technologies – Searching and Information Theory – Computational Methods – Knowledge Management – Sequence Visualizations – Structure Visualizations – User Interfaces – Animation vs Simulation. Statistics, Data Mining and Pattern Matching: Statistical Concepts – Micro Arrays – Imperfect Data – Basics – Quantifying – Randomness – Data Analysis – Tools Selection – Alignment – Clustering – Classification – Data Mining Methods – Technology – Infrastructure Pattern Recognition – Discovery.

Unit 3

Machine Learning – Text Mining – Pattern Matching Fundamentals – Dot Matrix Analysis – Substitution Matrix – Dynamic Programming – Word Method – Bayesian Method – Multiple Sequence Alignment Tools. Modelling Simulation and Collaboration: Drug Discovery Fundamentals – Protein Structure – System Biology Tools – Collaboration and Communication – Standards – Issues – Case Study.

Text Books

  • Bergeron B., “Bio Informatics Computing”, Prentice Hall, 2003.


  • Affward T. K. and Smith D. J. P., “Introduction to Bio Informatics”, Pearson Education, 2001.
  • Baldi P. and Brunak S., “Bio Informatics – The Machine Learning Approach”, Second Edition, First East West Press, 2003.

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