Bioinformatics, Computer applications & Quantitative Biology

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

Course Outcomes (COs):

Course

Learning outcomes

(at course level)

Learning and teaching strategies

Assessment Strategies

Paper Code

Paper Title

ZOL 322

Bioinformatics, Computer Applications & Quantitative Biology

 

Students will –:

CO67:  Provide insight into the key concept and analytical methods used in bioinformatics.

CO68: Acquire knowledge about sequence similarity search methods like DOT PLOT, heuristic and dynamic method for sequence analysis and alignment.

CO69: Assessing basics of bioinformatics in Phylogenetic analysis and prediction of structure of Proteins and nucleic acids using it.

CO70: Deduce application of mathematics in biology basic rules of Matrices and vectors, Exponential functions, Periodic Functions, Differentiation and Integration.

CO71: Expedite foundation on statistical methods to enable students to compute and interpret biological parameters statistically.

Approach in teaching:

Guest lectures, Reading assignments, Demonstration, 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 Genbank 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
10.00
Unit III: 
UNIT III

Computer Basics

  • MS-Office
  • Operating Systems (Unix andDOS)
  • Hardware and Software
  • Multimedia
  • Network Concepts (LAN, WAN)
  • Internet
  • Web Servers, WebAccess
  • 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
  • Standarderror
  • 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 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

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:

 

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: