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Insert non-formatted text here Biotechnology can be defined as the use of living organisms to help in coming up with products that uses biological system that can be used to modify products or process for a specific use. Currently, there is an increasing belief that biotechnology and information technology are the most innovative industries in US today, and that although each is distinct, they are displaying an important complementarities (Munack and Schonert, 2014). Their synergies and links are in such a way that the progress in one sector depends on the other. Biotechnology is a broad discipline that looks at the biological processes that can help in coming up with technologies to fight disease. With the vastness of human genome being able to be decoded by powerful computers, it implies that computer technology is an important field in understanding some of the biotechnological aspects (Fu and Barford, 2014). Currently, computer technology is used to compare a specific sequence together with other sequences of an already existing database. It has helped in reducing repetition of the same process a million times by allowing computer to handle the function with accuracy within a short span of time. In addition, computer is being used in the biotechnological field to compare a new DNA sequence with a similar sequence of database (Van Gunsteren and Berendsen, 2009). In a similar manner, the amino acid sequence of a protein structure can now be predicted easily by use of a computer. The data which has been generated from a biotechnological experiment can now be shared by many scientists who are working in different parts of the world through the use of computer network. The homology can help in predicting the evolutionary relationships (Munack and Schonert, 2014). The application of information technology is also evident in the field of biotechnology under bioinformatics which is a combination of statistics and computer science. The common activities of bioinformatics is mapping of DNA and analysing the observable protein sequences (Fu and Barford, 2014). This is currently becoming simple owing to the fact that the introduction of computer technology is simplifying the study of informatics processes in biotic systems. There is an increasing use of computer technology in biological modelling activity at both the cellular and subcellular level. This is important in that with the models, the computer technology can be applied within the pharmaceutical sector to help in coming up with new drugs. Computer algorithms are also being used in analysis of thousand behaviours of genes at the same time and this is building the foundation of data for creating an integrated model for the cellular process. Computer tools for modelling and simulation of genetic regulatory networks are required in order to comprehend the interaction between DNA, RNA and proteins for an individual to understand how genes are expressed and regulated (Van Gunsteren and Berendsen, 2009). In conclusion, based on the provided information, it is evident that there is no way biotechnology is going to exist without the application of computer science. Currently, gene sequencing can easily be done by the use of computer technology and this is greatly successful in genomics. It has helped in providing accurate data when comparing the DNA samples.

References FU, P., & Barford, J. P. (2014). Copyright© IFAC Computer Applications in Biotechnology. Computer Applications in Biotechnology, 330. Munack, A., & Schönert, K. (Eds.). (2014). Computer Applications in Biotechnology. Elsevier. van Gunsteren, W. F., & Berendsen, H. J. (2009). Computer simulation of molecular dynamics: Methodology, applications, and perspectives in chemistry. Angewandte Chemie International Edition, 29(9), 992-1023.