At Global institute of biosciences and technology, we have designed a distance based course in bioinformatics for students, researchers and industry professionals. In bioinformatics, the management of biological information is done with the help of computer technology. Computers are used to gather, store, analyze and integrate biological and genetic information which can then be applied to gene-based drug discovery and development. The emphasis here is on the use of computers because most of the tasks in genomic data analysis are highly repetitive or mathematically complex. The use of computers is absolutely indispensable in mining genomes for information gathering and knowledge building.


Bioinformatics consists of two subfields: the development of computational tools and databases and the application of these tools and databases in generating biological knowledge to better understand living systems. These two subfields are complementary to each other. The tool development includes writing software for sequence, structural, and functional analysis, as well as the construction and curating of biological databases. These tools are used in three areas of genomic and molecular biological research: molecular sequence analysis, molecular structural analysis, and molecular functional analysis. The analyses of biological data often generate new problems and challenges that in turn spur the development of new and better computational tools. Structural analyses include protein and nucleic acid structure analysis, comparison, classification, and prediction. The functional analyses include gene expression profiling, protein– protein interaction prediction, protein sub-cellular localization prediction, metabolic pathway reconstruction and simulation.

Future Prospects

Any country intending to remain up-to-date in the biomedical, biotechnological and agricultural sectors, cannot disregard Bioinformatics. In addition to this general trend, developing countries may also want to manage their own specific data on indigenous biological species, on local epidemiology and biodiversity programs. These tasks clearly require that statisticians and informatics experts become advanced users of bioinformatics software and develop a capability to solve problems locally. This process does not require large resources in it but will allow developing countries to further investigate their own biological resources. At present, advanced bioinformatics is concentrated in a few research centers and private companies around the world that have the capacity to employ personnel with highly specialized training. In spite of the fact that bioinformatics methods are freely accessible, there is clearly a gap between the developing and the industrialized world, which must be consciously narrowed. Bioinformatics is indeed the enabling technology for several fields of biomedical and agricultural research. The use of bioinformatics spreads freely through the Internet and it helps developing countries to catch up with industrialized countries. According to research of “Global Market Study on Bioinformatics - Asia to Witness Fastest Growth by 2020,” the global bioinformatics market was valued at USD 4,110.6 million in 2016 and is expected to grow at a CAGR of 20.4% from 2016 to 2020, to reach an estimated value of USD 12,542.4 million in 2020.

Program curriculum

We provide Bioinformatics course in two levels as Professional Designation for undergraduate students and Advance PG Program for Graduated Students. The details of the courses are as below:

Job opportunities

The above program curriculum will help students to ensure that the following job opportunities are waiting for them. We can conclude that requirement of Bioinformatician are the necessity for several bioinformatics related research laboratories and industry. The below statistics predicts an average data of placements in bioinformatics industry over a year globally.

Industries Associated with Bioinformatics

♦    Accelrys
♦    BioDiscovery
♦    Biomax Informatics
♦    CeleraScience
♦    Cellomics(R)
♦    CLC bio
♦    diaDexus
♦    DNAnexus
♦    EraGen Biosciences
♦    Expression Analysis