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Biotechnology is an umbrella term that encompasses the applications of biology, physics, and chemistry to develop products that either help improve the quality of life of human beings or facilitates research in the biological areas like vaccine development, drug discovery and patient care. Analytical Biotechnology stems out from biotechnology itself but, it concerns more with the deployment of analytical techniques and algorithms to develop better products. This field primarily encompasses product development and process control. The development of the optimisation process and identification of key parameters would have been otherwise impossible without analytical biotechnology.
The modern methods and applications of biotechnology focus on leveraging the state-of-the-art techniques and technologies for the study of genomics, drug discovery, metabolism and proteomics as well as analysis of naturally occurring molecules. Thus, analytical biotechnology is a study that encompasses all the areas that include bioanalysis or manufacturing of products like bio-chips, and bio-instruments. It also helps to automate the fabrication and manufacture of bio-robotic devices to leverage them for curing diseases.
Genomics is the field of biotechnology that specifically deals with mapping the structure, evolution, functions of genes as well as devising the techniques to manipulate the genetic material as per the requirement.
The deep-learning data analytics finds rigorous and inseparable applications in the field of genomics as it helps to map gene sequences. With the help of data analytics and algorithms in bio-science, the things that seemed impossible a few years ago now seems easily achievable. For example, doctors can now predict life-threatening diseases way long before they could jeopardize someone’s life. It can help engineer seeds for the crop that yield better and optimized results and help farmers increase profits, as well as help nutritionists to recommend a tailored diet chart which aligns with specific dietary needs of a person.
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Drug discovery and pharmacology is the field that deals with discovering novel treatment options and drugs for a particular disease. Usually, drugs were identified by isolating the active compounds from the traditional medications or by the means of accidental discovery, like penicillin.
While discovering novel drugs for diseases, a lot of time is spent by the pharmaceutical companies in screening compounds that can potentially become a cure and be formulated as approved drugs. With the application of predictive analysis, companies can now expedite this process through data modeling and selectively betting on the compounds that carry a higher rate of being formulated. These models skim through colossal heaps of clinical and molecular data to isolate or identify the potential winners in the race to be formulated. The parameters of these models depend upon the chemical composition, structure, target site of the drug or other goals like management of the disease. These predictive models could also be leveraged to predict possible risk factors like any fatality risks associated with the compound.
Predictive analysis is a commonly probed concept in Biotechnology assignments. You can get quality predictive analysis help when you avail analytical biotechnology assignment help from us.
Bioanalysis can be considered as a stemming branch from the analytical chemistry that covers the quantitative and qualitative measurements of xenobiotics. Techniques of data analytics are also leveraged to predict the evolution of a particular ecosystem, species or disease associated with a particular species. Thus, Bioanalysis, through a sub-branch of analytical chemistry, can still be used as an umbrella term to study how chemical composition affects diseases, an ecological system or DNA. Students looking for assignment help can contact our experts at My Assignment Services and get stellar grades.
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