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BIOINFORMATICS, COMPUTER APPLICATIONS & QUANTITATIVE BIOLOGY [1]

Paper Code: 
24ZOL322
Credits: 
4
Contact Hours: 
4.00
Max. Marks: 
100.00
Objective: 
Course objectives:
This course will enable the students to -
1. Furnish knowledge and awareness about the basic principles and concepts of Bioinformatics, Mathematics and Computer.
2. Illustrate the application of Bioinformatics Computer Applications, Mathematics and Biostatistics in biology.
 
Course Outcomes: 

Course

Learning outcomes (at course level)

Learning and teaching strategies

Assessmen t Strategies

Course Code

Course Title

 

 

 

 

 

 

 

 

 

 

 

 

 

24ZOL

322

 

 

 

 

 

 

 

 

 

 

 

Bioinformatic s, Computer Applications & Quantitative Biology (Theory)

 

The students will:

CO79. Provide insight into the key concept and analytical methods                         used            in bioinformatics.

CO80. Assess basics of bioinformatics                    in Phylogenetic analysis and prediction of structure of Proteins and nucleic acids using it.

CO81. List the various basic concepts of the computer CO82. Deduce application of mathematics in biology basic rules of Matrices and vectors,

Exponential functions, Periodic

Functions,                      differentiation and Integration.

CO83. Expedite foundation on statistical methods to enable students to compute and interpret biological parameters statistically.

CO84. Contribute effectively in course-specific interaction

Approach in teaching: Demonstration

,             Guest

lectures, Reading assignments, PowerPoint presentation Learning activities for the students: Self-learning assignments, Effective questions, Simulation, Seminar presentation, Giving tasks

Class test Semester end examinations, Quiz Assignments, Presentation Surprise test Open book test

 

12.00
Unit I: 
UNIT I
● The Gen bank sequence database
● Structure database
● Sequence analysis
● Sequence Alignment and database searching
● Practical aspects of multiple sequence alignment
 
12.00
Unit II: 
Unit II
● Phylogenetic analysis
● Information retrieval from Biological database
● NCBI data model
● Predictive methods using Protein sequences
● Predictive methods using Nucleotide sequences
● ACEDB: A database for genome information
● Submitting DNA sequence to the database
 
12.00
Unit III: 
Unit III
Computer Basics
● MS-Office
● Operating Systems (Unix and DOS)
● Hardware and Software
● Multimedia
● Network Concepts (LAN, WAN)
● Internet
● Web Servers, Web Access
● Security
● HTML HTTP
 
10.00
Unit IV: 
Unit IV
Matrices and vectors (General idea – addition, subtraction, Scalar multiplication, multiplication of matrices)
● Exponential functions (definition & Graph)
● Periodic Functions (definition & Graph)
● Differentiation (Rules of differentiation)
● Integration (Rules of indefinite & definite integration)
 
14.00
Unit V: 
Unit V
● Central tendency-Mean, median and mode
● Graphical & diagrammatic representation (pie chart, bar diagram, histogram, frequency polygon, frequency curve)
● Measures of dispersion, range, Q.D, standard deviation and coefficient of variation
● Probability distribution (Elementary idea about)
● Elementary idea of sampling distribution
● Standard error
● Tests of significance- t-test (1 population & 2 population test), Chi-square (independence of attributes)
● Simple correlation (Karl Pearson method) & regression
● ANOVA (1 way & 2 way classification)
 
Essential Readings: 
● Essential Bioinformatics, JinXiong, John Wiley and Sons. 2006.
● Introduction to Bioinformatics, A Teresa and D P Smith, Prentice Hall, 1999.
● Statistical Methods in Biology, N T J Bailey, Cambridge University Press, 1995.
● Statistics for Biologist, R C Campbell, Cambridge University Press, 1989.
 
● 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.
 
References: 
SUGGESTED READINGS:
● Fundamentals of Biostatistics, Khan, Publishing Corporation, 1999
● Biostatistics: A Foundation for Analysis in Health Sciences, (6th edition), W W Daniel, John Wiley and Sons Inc., 1995.
● Instant notes, Bioinformatics, Westhead, Parish, and Twyman, (1stedition), Bios Scientific Publishers Ltd., 2003.
● Introduction to Bioinformatics, A M Lesk, Oxford University Press, 2002.
● Molecular databases for Protein sequence and Structure studies, J A Sillince and M Sillince, Springer Verlag, 1991
● Practical statistics for Experimental Biologists, A C Swardlaw, John Wiley and sons Inc., 1985
● Sequence Analysis Primer, Gribskov and Devereux, Stockton Press, 1989
 
E-RESOURCES:
● e- PGPathshala
 
JOURNALS:
● Journal of Bioinformatics and Computational Biology. ISSN (print): 0219-7200 | ISSN (online): 1757-6334.
● BMC Bioinformatics, Publisher: BioMed Central ltd. ISSN: 1471-2105.
 
Academic Year: 
2024-2025 [5]

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Source URL: https://www.zoology.iisuniv.ac.in/courses/subjects/bioinformatics-computer-applications-quantitative-biology-8

Links:
[1] https://www.zoology.iisuniv.ac.in/courses/subjects/bioinformatics-computer-applications-quantitative-biology-8
[2] https://epgp.inflibnet.ac.in/Home/ViewSubject?catid=2rAs1Puvga4LW93zMe83aA==
[3] https://www.ncbi.nlm.nih.gov/
[4] https://vlab.amrita.edu/index.php?sub=3&brch=311
[5] https://www.zoology.iisuniv.ac.in/academic-year/2024-2025