Statistical Bioinformatics
- Review of basic statistical methods like, Estimation, Confidence Intervals and Testing Hypothesis, etc. Statistical inference for genomes and nano-arrays and ability to apply Stochastic modelings for the genomes structures
- Introducing Statistical methods in generating sequence of DNA
- Applying Machine Learning Techniques like Clustering and Characterization analysis in Bioinformatics, Markov and Hidden Markov Models in Bioinformatics,
- Statistical Analysis of phylogenetic trees and corresponding Statistical Inferences