COMPUTATIONAL BIOLOGY
1. Introduction: Definitions, Sequencing, Biological sequence/structure, Genome Projects, Pattern recognition an prediction, Folding problem, Sequence Analysis, Homology and Analogy, EMBnet, NCBI.
2. Protein Information Resources: Biological databases, Primary sequence databases, Protein Sequence databases, Secondary databases, Protein pattern databases, and Structure classification databases.
3. DNA Sequence analysis: DNA sequence databases, Importance of DNA analysis, Gene structure and DNA sequences, Features of DNA sequence analysis, EST (Expressed Sequence Tag) searches, Gene hunting, Profile of a cell, EST analysis, Effects of EST data on DNA databases.
4. Pair wise alignment techniques: Database searching, Alphabets and complexity, Algorithm and programs, Comparing two sequences, subsequences, Identity and similarity, The Dotplot, Local and global similarity, different alignment techniques, Dynamic Programming, Pair wise database searching.
5. Multiple sequence alignment: Definition and Goal, The consensus, computational complexity, Manual methods, Simultaneous methods, Progressive methods, Databases of Multiple alignments and searching 6. Secondary database: Searching Importance and need of secondary database searches, secondary database structure and building a sequence search protocol
7. Analysis packages: Comprehensive packages, packages specializing in DNA analysis, Probability and Statistics: Introduction, The beginnings of modern probability theory, Chance and Risk, Degrees of certainty. Bayesian Logic.
Text Books:
1. Introduction to Bioinformatics, by T K Attwood & D J Parry-Smith Addison WesleyLongman 2. Bioinformatics- A Beginner‟s Guide by Jean-Michel Claveriw, CerdricNotredame, WILEY dreamlech India Pvt. Ltd Reference Books: 1. Introduction to Bioinformatics by M.Lesk OXFORD publishers (Indian Edition)
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