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BIOSTATISTICS AND BIOINFORMATICS [1]

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

Course Outcomes (COs):

 

Course Outcomes

Learning and teaching strategies

Assessment Strategies

Upon completion of the course the learners will:

CO 23: Establish the sampling methods for data collection/generation and describe the characteristics of the population used in a study.

CO 24: Calculate and analyze the different statistical parameters like central tendency, dispersion, skewness and kurtosis for numerical data generated from experiments in laboratory.

CO 25: 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 26: Apply the knowledge of different nucleotide and protein databases in solving problems related to bioinformatics.

CO 27: Compare different protein databases to search for function of an unknown protein and evaluate annotations.

CO 28: Evaluate and use sequence similarity searching tools to match the DNA/Protein sequence of an unknown isolate to reference databases available.

CO 29: 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 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

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

 

 

REFERENCES: 

e RESOURCES:

JOURNALS:

  • International Journal of Molecular Biotechnology
  • Indian Journal of Biotechnology
  • Current Science
  • Bioinformatics

 

 

 

 

 

Academic Year: 
2022-2023 [11]

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Source URL: https://biotech.iisuniv.ac.in/courses/subjects/biostatistics-and-bioinformatics-16

Links:
[1] https://biotech.iisuniv.ac.in/courses/subjects/biostatistics-and-bioinformatics-16
[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://web.stanford.edu/class/bios221/book/Chap-Testing.html
[8] https://www.mun.ca/biology/scarr/2900_Hypothesis_testing.html
[9] https://doi.org/10.1186/cc2401
[10] https://statistics.laerd.com/statistical-guides/measures-central-tendency-mean-mode-median.php
[11] https://biotech.iisuniv.ac.in/academic-year/2022-2023