Classification & Tabulation of Data, Central tendency (Mean, Median, Mode), Dispersion (Absolute and Relative variation, Range, Deviations- quartiles and percentile), Variance, Covariance, RMSD.
Terms and concepts, Definition, Simple problems involving probability, Conditional Probability Distribution Functions (Discrete and Continuous R.V.), Normal, Binomial, Poisson, Central Limit Theorem
ANOVA, Correlation, Covariance, Calculation of covariance, Correlation analysis, Types of correlation, Scatter Diagram, Regression analysis, Regression coefficients
Test of Hypothesis, Test of Significance, types of sampling, Sampling Distribution (Chi-Square, Students t and F test)
Markowian process. Markow & hidden Markow model & it’s applications to bioinformatics. Stochastic process.
1. W W Daniel. “Biostatistics: A Foundation for Analysis in Health Sciences”, 6th Edition, John Wiley and Sons Inc.,1995. 2. Jin Xiong. “Essential Bioinformatics”, John Wiley and Sons,2006. 3. A Teresa and D P Smith. “Introduction to Bioinformatics”. Prentice Hall, 1999. 4. N.T.J Bailey. “Statistical Methods in Biology”. Cambridge University Press, 1995. 5. R C Campbell. “Statistics for Biologist”. Cambridge University Press, 1989.
1. A D Baxevanis & B F Ouellette. “Bioinformatics, A practical Guide to the Analysis of Genes and Proteins”. 2nd Edition, John Wiley and Sons, 2002. 2. “Fundamentals of Biostatistics”, Khan, Publishing Corporation, 1999. 4. A M Lesk. “Introduction to Bioinformatics”,Oxford University Press, 2002. 5. J A Sillince & M Sillince. “Molecular databases for Protein sequence and Structure studies”. Springer Verlag, 1991.
Links:
[1] https://biotech.iisuniv.ac.in/courses/PG-Courses/Bioinformatics/Essentials-of-Statistics
[2] https://biotech.iisuniv.ac.in/academic-year/2018-2019