BIOINFORMATICS AND BIOSTATISTICS

Paper Code:

DBTE 601B

Credits:

Contact Hours:

Objective:

Learning outcome

(at course level)

Learning and teaching strategies

Assessment Strategies

On completion of this course, the learner will:

CO52B: recognize the definition of statistics, its subject and its relation with the other sciences. Understand probability.

CO53B: Learn the classification of data, frequency distribution and graphical distribution of data. Measures of central tendencies

CO54B: Learn Hypothesis testing by student t and chi-square test.

CO55B: To learn how bioinformatics data is stored and organized in various databases like NCBI and how to locate and extract data from key bioinformatics databases.

CO56B: Learn similarity searching by BLAST & FASTA.

Interactive Lectures, Discussion, Tutorials, Reading assignments, presentations

Self-learning assignments, Effective questions

Giving tasks.

C A test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments, Classroom interaction

9.00

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)

9.00

Unit II:

Bioinformatics- II

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

8.00

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.

9.00

Unit IV:

Measure of central tendency and dispersion

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

10.00

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, (7^th 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, (2^nd 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, (1^st 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:

• National Center for Biotechnology Information (nih.gov)

• BLAST: Basic Local Alignment Search Tool (nih.gov)

• DDBJ (nig.ac.jp)

• EMBL-EBI: EMBL’s European Bioinformatics Institute | EMBL’s European Bioinformatics Institute

• The Human Genome Project

JOURNALS: