Bioinformatics, Computer Applications & Quantitative Biology

Paper Code: 
ZOL-322
Credits: 
4
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

Objectives

The course objective is to provide students with a basic understanding of:

  1. Use of computer in the field of biology
  2. Phylogenetic analysis
  3. Information retrieval from Biological database
  4. Basics of computer
  5. Mathematics used in biology
  6. Use of data analysis methods including graphing and statistical analysis.

Learning outcomes- By the end of the course, students should be able to:

  1. Describe the computer in the field of biology
  2. Describe the Phylogenetic analysis
  3. Describe the methods of Information retrieval from Biological database
  4. Have knowledge about  Basics of computer
  5. Use Mathematics in biology
  6. Describe the use of data analysis methods including graphing and statistical analysis.
12.00
Unit I: 
UNIT I
  • The Gene bank sequence database
  • Structure data base
  • 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, Jin Xiong, 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.
  • Fundamentals of Biostatistics, Khan,  Publishing Corporation, 1999
References: 
  • 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, (1st edition), 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
Academic Year: 
2019-2020
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