Biotechnology & Bioinformatics
Biotechnology is a fast growing and evolving field in science. Biotechnology scenario in the world is changing rapidly and dynamically. To prepare the students for this competitive field of science, to the curriculum and syllabi is crafted to impart current advancement and understanding about biotechnology along with basic knowledge about research and thus, provide about a substantial basic foundation of biotechnology in our students. BSRC constantly provides significant knowledge in biotechnology along with the core subjects.
Biotechnology is exclusively focused in bridging bio-sciences and engineering. Multiple paths have been embedded in the design of the curriculum and created a flexible practical experience comprising biosciences credentials like microbiology, immunology, bioinformatics, molecular biology, enzyme technology and animal cell culture.
Bioinformatics is the subject that use bio tech in computers. It is field that develops methods and software tools for understanding biological data. Bioinformatics has become an important part of many areas of biology. In experimental molecular biology, bioinformatics techniques such as image and signal processing allow extraction of useful results from large amounts of raw data. In the field of genetics and genomics, it aids in sequencing and annotating genomes and their observed mutations. It plays a role in the text mining of biological literature and the development of biological ontologist to organize and query biological data. It also plays a role in the analysis of gene and protein expression and regulation. Bioinformatics tools aid in the comparison of genetic and genomic data and more generally in the understanding of evolutionary aspects of molecular biology.
THE ACTUAL PROCESS OF ANALYZING AND INTERPRETING DATA IS REFERRED TO AS COMPUTATIONAL BIOLOGY. IMPORTANT SUB-DISCIPLINES WITHIN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY INCLUDE:
- Development and implementation of computer programs that enable efficient access to, use and management of, various types of information
- Development of new algorithms (mathematical formulas) and statistical measures that assess relationships among members of large data sets. For example, there are methods to locate a gene within a sequence, to predict protein structure and/or function, and to cluster protein sequences into families of related sequences.
We are charging at very competitive fee for different modules in different streams of Biotechnology. For the Registration of Summer Training in above mentioned modules click here
For any query regarding training you can email us at: firstname.lastname@example.org , email@example.com also contact us on 8289055511, 8289066611