Tuesday, September 17, 2019

Application of Bioinformatics in Genetic Engineering

Bioinformatics in Genetic Engineering
Why Bioinformatics is Important in Genetic Engineering? Bioinformatics advances Genetic Engineering Applications

Application of Bioinformatics in Genetic Engineering



What is Bioinformatics?

Bioinformatics is the biggest achievement of biotechnology. It is a new field of biology, under which the acquisition, storage, processing, analysis, distribution, interpretation, etc. Biotechnology, information technology, and mathematics are used in this field.
We can also say here it is a combination of computer science and information technology, through which it is known how the genes of the plant are altered, how to find the group of genes responsible for life-threatening diseases, and how to help in the manufacture of medicines and so on.
 Currently, applications related to computer pattern recognition, data mining, machine learning algorithms and visualization are being used in bioinformatics. Through this, it is being used in the fields of genome assembly (sequence assembly), gene discovery, drug discovery, drug design, protein structure alignment, protein structure prediction, etc.
The ultimate goal of bioinformatics is to expose biological information hidden in series, structural literature, and other biological data and use it to raise the standard of human life.

What is Genetic Engineering and Why is It So Important?

Genetic engineering or rDNA technology (recombinant DNA technology) is the process of using biotechnology to modify and change the organism's genes.
Genetic engineering or rDNA technology introduces foreign genes into plants, animals, microbes as well as humans in order to express new characteristics. This technology is used in the breeding of crops and animals as well as in the manufacture of pharmaceuticals and industrial chemicals.



The Importance of Genetic Engineering

Genetic engineering is concerned with various organisms such as plants, microorganisms, animals and humans, of course.
Genetic modification and biomedical engineering technologies were used many years ago. The bacteria were the first organisms to work on in 1973, and then on mice in 1974 and finally began to reap the fruits when insulin was produced and sold in 1982 AD and later developed in 1994 AD.
Genetic engineering is also known as genetic modification. Genetic modification is an indirect manipulation by humans in order to change the morphological qualities it will look like.
Genes enable us to increase the number of substances produced in the human body and to provide it with minus them in order to avoid disease.

The latest and important development in the world of genetic engineering has been to isolate the genetic material and copy the material related to the trait we want to modify, and then generate a structure containing the genetic elements in order to obtain genetically modified organisms, and then planted in the host body (human).

Genetic engineering is involved in many fields, such as medicine, chemistry, biology, biochemistry, and physical sciences. It has also represented an unprecedented development in pharmacology as important drugs such as insulin and insecticides have been manufactured that protect plants and crops from insect attack.
In developing genetic engineering and genetics, the human goal is to make life easier for humans, reduce costs and increase the quality and efficiency of synthetic material, as in the pharmaceutical protein manufactured and sold in 2009, which is genetically modified.

The experiments came out of the theoretical realm to the practical stage in 1986, as the United States and France engineered tobacco and made it a herbicide-resistant material, as well as popular China marketed genetically engineered plants to become resistant to viruses, and also the European Union modified genetically and sold tomatoes and was a great success.

Why Bioinformatics is Important in Genetic Engineering?

The role of bioinformatics in genetic engineering can never be overstated. It mainly motivates us to achieve the goals of genetic research. The study of genes without bioinformatics would remain a cumbersome undertaking, which in fact bears no fruit. At first, genetics was a prolonged and time-consuming study and it was making sense of the results remained a mirage.but after sometimes, the difficulty was solved when bioinformatics comes with tools and techniques to analyze genetic data through borrowing from various disciplines.
The attitude towards health and all aspects of life, in general, is changing and achieving great success. When we look at things in totality and solve problems that demand intervention in every field. so the huge success is recorded.
 Bioinformatics opens up more important opportunities in genetic research. Very precise data can now be generated in an instant and leveraged for research purposes. Adopting the role of bioinformatics in genetic engineering is very important because the information analyzed and presented in this form is like a gold mine in the medical sector as well as in the agricultural sector.

Bioinformatics advances Genetic Engineering Applications

Genetic engineering is based mainly on data mining techniques. Some of the exploration methods have been developed specifically for the purposes of bioinformatics research in a way that has made bioinformatics tools for bio-prospecting two pathways of integrated science and mutually develops each other. The bioinformatics environment is fertile for prospecting techniques due to its vast infinite data of amino acid chains and billions of genetic sequences.
Bioinformatics aims to solve biological problems using amino acid sequences, DNA and related information. It develops computer algorithms and biological computer software to analyze and record data related to biology, for example, the data of genes, proteins, metabolic pathways, and drug ingredients.
Bioinformatics software and tools for exploration have been an effective way to study and analyze chains to explore patterns and decode human genetic engineering, which has contributed to understanding the nature of diseases, discovering new and effective drugs for a large number of them, and developing existing drugs and improving their effectiveness and efficiency.
In general, data mining techniques contribute to increasing the efficiency of research and biological studies in all its forms and enhance the ability of researchers to advance in-depth analysis of biological information in new and unprecedented ways.



Applications of Genetic Engineering

Genetic Engineering Medical Applications

The applications of genetic engineering to medical fields have been applied in several sections, including understanding the causes of diseases. Accordingly, drugs, new therapies, research methods and diagnostics have been developed, as well as the development of clinical devices. It also creates significant opportunities for continuous understanding of gene-related diseases, genetic inheritance among family members, as well as individual treatments

Genetic Engineering Industrial Applications

 Applications of genetic engineering have also entered the industrial field. Many chemical commodities that were primarily based on organisms were produced, such as enzymes, and specialized chemicals using biotechnology applications. Biotechnology has used corn as an alternative to oil, fermenting sugar to produce acids that can later be used in other industrial processes, as well as in the textile industry

Genetic Engineering Animal Applications

Genetic engineering applications have been used in the field of animal genetic modification. The aim of this use is to produce genetically modified animals that meet the human needs of different products and shapes. The application of these applications is based on the introduction of the desired genes on the genome of cattle, resulting in a greater quantity of nutrients, in addition to increasing the nutritional value of them. The birth rate of a particular component of the nutritional value of the components of these materials to meet the market demand, such as increasing the proportion of omega-3 acids in fish, and reduce the injury of people who eat these fish to prevent cardiovascular disease rates.

Conclusion
Bioinformatics is the biggest achievement of biotechnology.
Genetic engineering or recombinant DNA technology is the process of using biotechnology to modify and change the organism's genes. 
The role of bioinformatics in genetic engineering can never be overstated. 
Bioinformatics opens up more important opportunities in genetic research. 
Bioinformatics advances Genetic Engineering Applications. 

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