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Bioinformatics
Contents : Evolution of Bioinformatics as a discipline, Bioinformatics Databases, Literature search using Entrez and Pubmed, Sequence Analysis, Primer Designing, Gene Prediction, Genome resources, Genome browsers, Protein structure and function, RNA structure predictions, Gene expression profiling with Microarrays
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Microarrays
Contente: Gene expression in Prokaryotes and Eukaryotes; Other Gene expression measurement techniques; Microarrays – Principle, Types , Design of probes, Manufacturing techniques, Quality control of chips, Artifacts and their causes, Gridding, Image analysis, Primer on statistical techniques, Design of experiments, Normalizations, Transformations, Filtering, Clustering, GO analysis
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Microarrays : Analysis and Data Mining
Content: Gene expression primer, basic statistics primer, image analysis, transformations, normalizations, parametric and non-parametric analysis, data mining techniques and tools, meta analysis, class discovery, SVM, PCA
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Database Design using MySQL
Contents : DBMS – history, Applications, Data models, View of data, System structure; Data Models – Constraints, Keys, ER ( Entity Relationship) diagrams, Designing ER database schema, Reduction of ER schema to tables, Relational data model, Normalization; SQL – DDL and DML; MySQL – components, architecture, SQL queries
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