Gene Technology, Immunology and Computational Biology - जीन प्रौद्योगिकी, प्रतिरक्षा और संगणन जैव विज्ञान

Program Class: Doplima/ B.Sc

Year: Second

Semester: Fourth

Subject: ZOOLOGY

Course Title: Gene Technology, Immunology and Computational Biology

Course Learning Outcomes:

On completion of this course, learners will be able to:

·       Understand the principles of genetic engineering, how genes can be cloned in bacteria and the various technologies involved in it.

·       Know the applications of biotechnology in various fields like agriculture, industry and human health.

·       To have an in depth understanding about Immune System & its mechanisms.

·       Get introduced to DNA testing and utility of genetic engineering in forensic sciences.

·       Get introduced to computers and use of bioinformatics tools.

·       Enable students to get employment in pathology/Hospital.

·       Take up research in biological sciences.

Credits: 4

Core Compulsory

Max. Marks: –25+75

Min. Passing Marks: 33

Unit

Topics

I

Principles of Gene Manipulation

·       Recombinant DNA Technology

·       Selection and identification of recombinant cells

·       Restriction Enzymes, DNA modifying enzymes, Cloning Vectors, Ligation

·       Gene transfer techniques, Gene therap

II

Applications of Genetic Engineering

·       Single cell proteins

·       Biosensors, Biochips

·       Crop and live stock improvement, development of transgenics

·       Development of DNA drugs and vaccines

III

DNA Diagnostics

·       Genetic analysis of human diseases, detection of known and unknown mutations

·       Concept of pharmacogenomics and pharmacogenetics

IV

Immune System and its Components

·       Historical perspective of Immunology, Innate and Adaptive Immunity, clonal selection, complement system

·       Structure and functions of different classes of immunoglobulins, Hypersensitivity

·       Humoral immunity and cell mediated immunity

·       Suitable examples of Autoimmunity, immune deficiency, transplantation rejection

V

Biostatistics I

·       Calculations of mean, median, mode, variance, standard deviation

·       Concepts of coefficient of variation, Skewness, Kurtosis

·       Elementary idea of probability and application

VI

Biostatistics II

·       Data summarizing: frequency distribution, graphical presentation pie diagram, histogram

·       Tests of significance: one and two sample tests, t-test and Chi- square test

VII

Basics of Computers

·       Basics (CPU, I/O units) and operating systems

·       Concept of homepages and websites, World Wide Web, URLs, using search engines

VIII

Bioinformatics

·       Databases: nucleic acids, genomes, protein sequences and structures, FASTA format, Bibliography

·       Sequence analysis (homology): pairwise and multiple sequence alignments-BLAST