Thursday, July 25, 2013

CS9258 BIO INFORMATICS

CS9258 BIO INFORMATICS

UNIT I INTRODUCTORY CONCEPTS

The Central Dogma – The Killer Application – Parallel Universes – Watson’s Definition – Top
Down Versus Bottom up – Information Flow – Convergence – Databases – Data Management
– Data Life Cycle – Database Technology – Interfaces – Implementation – Networks –
Geographical Scope – Communication Models – Transmissions Technology – Protocols –
Bandwidth – Topology – Hardware – Contents – Security – Ownership – Implementation –
Management.

UNIT II SEARCH ENGINES AND DATA VISUALIZATION

The search process – Search Engine Technology – Searching and Information Theory –
Computational methods – Search Engines and Knowledge Management – Data Visualization –
sequence visualization – structure visualization – user Interface – Animation Versus simulation
– General Purpose Technologies.

UNIT III STATISTICS AND DATA MINING

Statistical concepts – Microarrays – Imperfect Data – Randomness – Variability – Approximation
– Interface Noise – Assumptions – Sampling and Distributions – Hypothesis Testing –
Quantifying Randomness – Data Analysis – Tool selection statistics of Alignment – Clustering
and Classification – Data Mining – Methods – Selection and Sampling – Preprocessing and
Cleaning – Transformation and Reduction – Data Mining Methods – Evaluation – Visualization –
Designing new queries – Pattern Recognition and Discovery – Machine Learning – Text Mining
– Tools.

UNIT IV PATTERN MATCHING

Pairwise sequence alignment – Local versus global alignment – Multiple sequence alignment –
Computational methods – Dot Matrix analysis – Substitution matrices – Dynamic Programming
– Word methods – Bayesian methods – Multiple sequence alignment – Dynamic Programming
– Progressive strategies – Iterative strategies – Tools – Nucleotide Pattern Matching –
Polypeptide pattern matching – Utilities – Sequence Databases.

UNIT V MODELING AND SIMULATION

Drug Discovery – components – process – Perspectives – Numeric considerations – Algorithms
– Hardware – Issues – Protein structure – AbInitio Methods – Heuristic methods – Systems
Biology – Tools – Collaboration and Communications – standards - Issues – Security –
Intellectual property.

REFERENCES

1. Bryan Bergeron, “Bio Informatics Computing”, Second Edition, Pearson Education,
2003.
2. T.K.Attwood and D.J. Perry Smith, “Introduction to Bio Informatics, Longman Essen,
1999.

Buy Bioinformatics Computing 1st Edition: Book

Buy Introduction to Bioinformatics 1 Edition: Book


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