Bioinformatics and Genomic Data Analysis

Course Features

Course Instructor: Vanercia
Who should do it: Bachelors (Pursuing / Completed) and above
Assessment: Exams at end of course, Quiz and Assignments
Certificate: Yes

Course Details

The evolution of science and technology, manipulation of genomes has taken center stage for solving the problems related to remedies for health issues, food insecurities, and improving the environment. Traditional ways of treating diseases will not stop a large number of deaths occurring across the globe due to communicable and non-communicable diseases. Genomic data analysis enables understanding of interaction of genes and proteins in animals, plants and microbes. The course provides an overview of the genetic engineering principles and applications. The course also covers tools and technologies for manipulation of genes and genomes.

Career Options

Bioinformatics and genome analysis is now being applied to various fields such as medicines and vaccine development, agriculture, industrial biotechnology and environmental remediation. The skilled persons are indispensable for research as well as industry. This science integrates molecular biology, biochemistry, cell biology, developmental biology and medicinal research, therefore, entrepreneurship is also an important career taken up by students equipped with knowledge of molecular genetics, bioinformatics software and data analysis tools.

Learning Outcomes

• The course provides an introduction to molecular genetics, its history and events which led to the evolution of this science.
• The course enables students to study the characteristics and features of genetic material through online software.
• The course includes online-lectures, presentations and project-based training designed on the inputs from academia and industry.
• Quiz and assignments based on modules covered, for practice.

Course Modules

• Bioinformatics, Genes and molecular genetics
• Biological databases
• Bioinformatics open source softwares and tools to analyses genomic information
• Sequence alignment
• Evolutionary bioinformatics
• Next-Generation Sequencing (NGS): Principles and Its Applications