BIOSTATISTICS AND BIOINFORMATICS

Paper Code: 
MBL 125
Credits: 
5
Contact Hours: 
75
Objective: 

Course Outcomes (COs):

 

Course Outcomes

Learning and teaching strategies

Assessment Strategies

Upon completion of the course the learner will:

CO 24: Establish the sampling methods for data collection/generation and describe the characteristics of the population used in a study.

CO 25: Calculate and analyze the different statistical parameters like central tendency, dispersion, skewness and kurtosis for numerical data generated from experiments in laboratory.

CO 26: Design a research-based study, formulate nulls hypothesis, do computations using appropriate statistical techniques, interpret the findings of an experimental study and will justify the results obtained at a particular level of significance. 

CO 27: Apply the knowledge of different nucleotide and protein databases in solving problems related to bioinformatics.

CO 28: Compare different protein databases to search for function of an unknown protein and evaluate annotations.

CO 29: Evaluate and use sequence similarity searching tools to match the DNA/Protein sequence of an unknown isolate to reference databases available.

CO 30: Infer the phylogenetic relationships between different organisms by comparing their DNA/Protein sequences.

Discussion, Tutorials, Demonstration, Effective questions, Simulation, Giving tasks, Practical

 

 

Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments, Presentation, Individual and group projects

 
 
11.00
Unit I: 
Sampling and classification of data
  • Sampling - Sampling procedure, types of sampling, Classification and tabulation of data, frequency distribution, probability, addition and multiplication theorem of probability. A brief idea of normal, Poisson and binomial distribution.

 

14.00
Unit II: 
Measures of central tendency and dispersion
  • Measure of central tendency-Mean, median and mode, Measures of dispersion - range, mean deviation, standard deviation, coefficient of variation, Skewness and kurtosis.
16.00
Unit III: 
Tests of significance
  • Hypothesis testing, Nulls hypothesis and alternative hypothesis, level of significance. Chi-square test, t-test, F-test, ANOVA-one way and two way classifications. Simple correlation and simple regression.
15.00
Unit IV: 
Overview of bioinformatics
  • Overview of bioinformatics – introduction, The internet and the biologist, Database types-Primary and Secondary databases, sequence databases - nucleotide and protein sequence databases (NCBI, ENBL, DDBJ, UNIPORT, PIR), Structure databases (PDB, MMDB, CSD, NDB)
  • Sequence analysis
19.00
Unit V: 
Sequence similarity searching
  • Concept of similarity searching, methods of similarity searching (BLAST, FASTA) statistical significance of sequence comparisons, application of similarity searching in gene identification and functional assingment. Information retrieval from biological databases. Computer tools for finding and retrieving sequences, pair wise and multiple alignments. Genomics and Genome project
ESSENTIAL READINGS: 
  • Essential Bioinformatics, JinXiong, John Wiley and Sons. 2006.
  • Introduction to Bioinformatics, A Teresa and D P Smith, Prentice Hall, 2006.
  • Introduction to Bioinformatics, A M Lesk, Oxford University Press, 2002. 
  • Biostatistics: A Foundation for Analysis in Health Sciences, (11th edition), W W Daniel, John Wiley and Sons Inc., 2018.
  • Statistical Methods, S. P. Gupta, 43rd Edition, Sultan Chand, 2014
  • Fundamentals of Biostatistics, Khan and Khanum, Shiba Khan, Ukaaz /BSP books India, 2018
REFERENCES: 

SUGGESTED READINGS:

  • Research Methodology the Aims, Practices and Ethics of Science, Peter Pruzan, Springer, 2016
  • Statistical Methods in Biology Norman T. J. Bailey,3rd edition, Cambridge University Press, 2000
  • Practical statistics for Experimental Biologists, A C Swardlaw, 2nd edition, John Wiley and sons Inc., 2000
  • Bioinformatics, A practical Guide to the Analysis of Genes and Proteins, (2nd edition), A D Baxevanis, and B F Ouellette, John Wiley and Sons, 2002.
  • Fundamentals of Biostatistics, Hammanth Rao & K. Janardan, I K International Publishing House Pvt. Ltd, 2013
  • Instant notes, Bioinformatics, Westhead, Parish, and Twyman, (1st edition), Bios Scientific Publishers Ltd., 2003.
  • Biostatistics: Basic Concepts and Methodology for the Health Sciences, 10ed, ISV. Wiley 2019
  • Bioinformatics Sequence and Genome Analysis 2ed CBS Publishers, 2005
  • Sequence Analysis Primer, Gribskov and Devereux, Stockton Press, 1989

 

e RESOURCES:

JOURNALS:

·         International Journal of Molecular Biotechnology

·         Indian Journal of Biotechnology

·         Current Science

·         Bioinformatics

 

Academic Year: 
2022-2023
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