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Bioinformatics and Biostatistics (Theory) [1]

Paper Code: 
24DMBL601B
Credits: 
04
Contact Hours: 
04
Objective: 

This course will enable students to learn to apply statistical methods to analyze            biological data and draw meaningful conclusions & develop proficiency in experimental design, hypothesis testing, and data interpretation. The student will learn bioinformatics tools for sequence analysis, protein structure prediction, and database searching.

12.00
Unit I: 
Bioinformatics- I

Overview of bioinformatics- introduction, advantages and limitations, Database types- Primary and secondary databases, sequence databases- nucleotide and protein sequence databases (NCBI, EMBL, DDBJ, UNIPORT)

12.00
Unit II: 
Bioinformatics- II

Structure databases (PDB, MMDB), Concept of similarity searching, methods of similarity searching (BLAST, FASTA) and its use, multiple sequence alignment.

12.00
Unit III: 
Basics of Biostatistics

Sampling - Sampling procedure, types of sampling, Classification and tabulation of data, frequency distribution, probability, addition and multiplication theorem of probability, advantages and limitations of biostatistics.

12.00
Unit IV: 
Measure of central tendency and dispersion

Mean, median and mode, Measures of dispersion - Standard deviation, coefficient of variation, Skewness and Kurtosis.

Unit V: 
Tests of Significance

Hypothesis testing, Nulls hypothesis and alternative hypothesis, Chi-square test, F-test, ANOVA- one way and two way classifications.

ESSENTIAL READINGS: 
  • Biostatistics: A Foundation for Analysis in Health Sciences, (7th edition), W W Daniel, John Wiley and Sons Inc., 2001.
  • Essential Bioinformatics, JinXiong, John Wiley and Sons. 2006.
  • Introduction to Bioinformatics, A Teresa and D P Smith, Prentice Hall, 2006.
  • Statistical Methods in Biology, N T J Bailey, Cambridge University Press, 1995.
  • Introduction to Bioinformatics, A M Lesk, Oxford University Press, 2002.
  • Practical statistics for Experimental Biologists, A C Swardlaw, John Wiley and sons Inc., 1985
REFERENCES: 

SUGGESTED READINGS:

  • 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: 
2024-2025 [7]

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Source URL: https://biotech.iisuniv.ac.in/courses/subjects/bioinformatics-and-biostatistics-theory

Links:
[1] https://biotech.iisuniv.ac.in/courses/subjects/bioinformatics-and-biostatistics-theory
[2] https://www.ncbi.nlm.nih.gov/
[3] https://blast.ncbi.nlm.nih.gov/Blast.cgi
[4] https://www.ddbj.nig.ac.jp/index-e.html
[5] https://www.ebi.ac.uk/
[6] https://www.genome.gov/human-genome-project
[7] https://biotech.iisuniv.ac.in/academic-year/2024-2025