- 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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Biostatistics Introduction
Contents : Statistics and its applications, Sampling theory, Descriptive statistics, Data representation and visualization, Central tendency, Dispersion, Correlation and Regression, Probability theory, Probability distributions, Hypothesis testing
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Advanced Biostatistics
Contents : Discrete and Continuous Probability Distributions, Hypotheses testing – One Sample, Two sample, Paired Sample, ANOVA- multi sample hypotheses, 2 way ANOVA, Data Transformations, Multiple Correlation and Regression, MANOVA, Non-parametric analysis – one sample, matched sample, one-way ANOVA
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Base SAS
- Introduction To Sas System & Architecture
- History And Various Modules
- Features
- Variables & Sas Syntax Rules
- Sas Data Sets
- Data Set Options
- Operators
- If – Then Else Statement
- Where Statement
- Creating & Redefining Variables
- Reading Raw Data
- Infile Statement With Options
- Multiple Observations and Multiple Datasets.
- Input Styles
- SAS Functions
- Select Statement
- Do Loops
- Leave and Continue Statements
- Output Statement & Put Statement
- Stop And Error Statements
- Array Statement
- Modifying And Combining Data Sets
- Updating Master Data Set
- Key Board Macros & Add Abbreviations
- Display Manager Commands
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