BIOINFORMATICS

Paper Code: 
MIT 322B
Credits: 
04
Periods/week: 
04
Max. Marks: 
100.00
Objective: 

Prerequisite: This paper can be opted only by those students who have studied Biology at 10+2 level.

Objective: In this module student will learn various concepts in bioinformatics.

 

12.00

Introduction to Bioinformatics: Definition and History of Bioinformatics, Bioinformatics Applications, Major databases in Bioinformatics, Data Management and Analysis.

Molecular Biology and Bioinformatics, Understanding DNA, RNA, protein, DNA replication, genes, genome, chromatin.

 

12.00

Information Search and Data Retrieval: Tools for web search, Data Retrieval tools, data mining of Biological databases.

Genome Analysis and Gene Mapping: Introduction, Genome analysis, Genome mapping, The Sequence Assembly problem, Genetic mapping and Linkage analysis, Physical maps, Cloning the entire genome, genome sequencing, applications of genetic maps, Sequence assembly tools, The Human Genome Project

 

12.00

Introduction to sequence alignment, Tools for similarity search and sequence alignment: BLAST, FASTA, NCBI.

 

 

12.00

Biological databases: Nucleic acid and protein resources, homology, analogy, orthology and paralogy and different alignments.

 
12.00

Data analysis using PERL.

Introduction to PERL: Introduction: What is Perl? Why use Perl in Bioinformatics? History of Perl, Availability, Support, Basic Concepts (1)

Scalar Data: What Is Scalar Data? Numbers, Strings, Scalar Operators, Scalar Variables, Scalar Operators and Functions (1)

Arrays and List Data: What Is a List or Array? Literal Representation, Variables, Array Operators and Functions, Scalar and List Context (2)

Control Structures: Statement Blocks (1)

Hashes: What Is a Hash? Hash Variables, Literal Representation of a Hash, Hash Functions, Hash Slices

 

ESSENTIAL READINGS: 

  1. Rastogi, S.C., Mendiratta, N. and Rastogi, P. 2004 Bioinformatics: Concepts, Skills & Applications. CBS Publishers & Distributors, New Delhi.

REFERENCES: 

  1. Claverie, J.M. and Notredame C. 2003 Bioinformatics for Dummies. Wiley Editor.

    2. Letovsky, S.I. 1999 Bioinformatics. Kluwer Academic Publishers.

    3. Baldi, P. and Brunak, S. 1998 Bioinformatics. The MIT Press.

    4. Setubal, J. and Meidanis, J. 1996 Introduction to Computational Molecular Biology. PWS Publishing Co., Boston.

    5. Lesk, A.M. 2002 Introduction to Bioinformatics. Oxford University Press.

    6. Rastogi, S.C., Mendiratta, N. and Rastogi, P. 2004 Bioinformatics: Concepts, Skills & Applications. CBS Publishers & Distributors, New Delhi.

    7. Vyas, S.P. and Kohli, D.V., Methods in Biotechnology and Bioengineering.

    8. Singer, M. and Barg, P. Exploring Genetic Mechanism.


     
Academic Year: 
2016-17
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