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Applications of Bioinformatics in Biotechnology and Research

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Added on  2020-03-04

Applications of Bioinformatics in Biotechnology and Research

   Added on 2020-03-04

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Running Head: APPLICATIONS OF BIOINFORMATICS IN BIOTECHNOLOGY AND RESEARCHApplications of bioinformatics in biotechnology and research.(Name)(University)(Course)(Instructor)(Date of submission)
Applications of Bioinformatics in Biotechnology and Research_1
APPLICATIONS OF BIOINFORMATICS IN BIOTECHNOLOGY AND RESEARCH1Table of contents.The general field of bioinformatics .................................................... 1 Types of data in bioinformatics ........................................................ 4Applications of bioinformatics ....................................................... 7 Vaccine Discovery ........................................................ 7 Pathogenesis and bioinformatics...................................... 9 Bioinformatics and medicine ................................................. 10Conclusion .................................................................................... 11
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APPLICATIONS OF BIOINFORMATICS IN BIOTECHNOLOGY AND RESEARCH2Introduction to the general field of bioinformatics.Bioinformatics tools are important in fundamental research on the evolutionary theoriesand practical instances of the protein design. They are used in biotechnology and other aspects ofbiological research. Various approaches and algorithms that are used in such studies include;alignments of the structure and sequences, prediction of the secondary structure, classification ofproteins and progress of protein expression in the cell cycle (Felix et al., 2005). In this essay, weshall discuss the uses of bioinformatics in biotechnology, biological sciences and medicalresearch critically examining the general field of bioinformatics, types of data involved inbioinformatics and the applications of bioinformatics in the scientific process. Rana (2012) argues that genome sequencing and the analysis of the X-ray structure haveled to enormous amounts of structures and sequences of multiple proteins into the scientificcommunity. The information obtained from such analysis can be used in biological and medicalresearch effectively, if one can interpret the information they provide appropriately (p.10). Twotypes of computational techniques can be used in the analysis of such data these includesimulations of the full atoms in molecular dynamics or the bioinformatics approach (Rana, 2012,p 11).Bioinformatics is a field in biological sciences that involves statistical analysis of thestructure and sequences of proteins. Moreover, it aids in the annotation of the genome,understanding its function and predict structures. Nevertheless, the process is possible when theprotein sequence information is available. Bioinformatics has brought a major revolution inbiological sciences with powerful tools that provide vast information. They are the most complex
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APPLICATIONS OF BIOINFORMATICS IN BIOTECHNOLOGY AND RESEARCH3and powerful tools in biological sciences presently. Moleculardynamics and molecular modelingsimulations study the folding and functions of proteins (Rana, 2012, p.12).According to the National Institute of Health, bioinformatics is involved in research,development and application of tools in computation to widen the medical, behavioral andbiological data. In addition to that, it helps to acquire, store, organize and interpret information.Bioinformatics has been used in the Human Genome Project, which has attracted much interestfrom researchers and facilitated the analysis of large amounts of bio data. The data needs to beanalyzed due to the advances made in molecular biology techniques (Kumar, 2015, p.2).Rana (2012) further illustrates that bioinformatics has led to important discoveries indrugs and medicine, plant sciences biology furthermore, it has helped pharmaceutical companiesto save money, time and management of large biological data. In addition to that, its aimsinclude organizing data for researchers to gain easy access to information, to develop dataanalysis tools and interpret information in a meaningful way. Moreover, bioinformatics providesavailable tools to analyze data and interpret results (p.14). Research areas in bioinformatics include genomics, proteomics, and computer aided drugdesign. In addition to that, research areas further include biological databases, biological datamining, microarray informatics, molecular phylogenetics, (study of an organisms at themolecular level in order to gather information on phylogenetic relationships of organisms) andagro informatics (agricultural informatics that deal with plant research) (Rana, 2012, pp. 13- 18).
Applications of Bioinformatics in Biotechnology and Research_4

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