Biotechnology:
It is one of the most revolutionary and beneficial scientific developments in the last quarter of the century. It is a multidisciplinary science that includes not only biology but also subjects such as mathematics, physics, chemistry, engineering, and more. It is also a combination of various combined technologies applied to living cells to produce a particular product or enhance its quality according to our preferences. Its application varies from agriculture to industry - food, pharmaceuticals, chemicals, organic products, textiles, medicine, nutrition, environmental protection, animal sciences, etc. Making one of the fastest growing fields.
Biotechnology combines disciplines such as genetics, molecular biology, biochemistry, embryology and cell biology, which in turn are linked to practical sciences such as chemical engineering, information technology and robotics.
Bioinformatics:
It is the application of computer science and computer science in the field of molecular biology. The term bioinformatics was created by Paulien Hogeweg in 1979 to study the computational processes in living systems. Its main use, at least since the late 1980's, has been in genomics and genetics, particularly in those areas of genomics involving the analysis of large-scale DNA sequences. Bioinformatics has so far created and promoted databases, algorithms, computational and statistical techniques and theory to solve formal and practical problems arising from the management and analysis of biological data. In recent decades, rapid advances in genomics and other molecular research technologies and developments in information technologies have been combined to produce enormous information on molecular biology. It is the name given to these mathematical and computational approaches that are used to understand the understanding of biological processes. Common activities in bioinformatics include the mapping and analysis of DNA and protein sequences, aligning different DNA and protein sequences to compare them, and to create and see models of 3-D protein structures.
The primary objective of bioinformatics is to increase understanding of biological processes. What distinguishes it from other approaches, however, is its focus on the development and application of computational intensity techniques (eg pattern recognition, data mining, engineering learning algorithms and visualization) to achieve this goal. Significant research efforts in the field include sequence alignment, genes finding, genome assembly, protein structure alignment, protein structure prediction, gene expression predictions and protein-protein interactions, genomic correlation studies and evolution modeling.
Both fields of Biotechnology and Bioinformatics are as good as work and gain prospects. Both courses have equal opportunities and have their own priorities, I suggest you go for this area you are interested in.
