Bioinformatics Technology means that to provide biological data from multiple sources. As well as, it is the science of collecting and analyzing complex biological data such as genetic codes. For ex, Gene Expression data, Sequence information, Protein to protein interaction data, clinic-pathological data.
Bioinformatics Technology has been a vital role in many biological areas. It was the techniques contains such as image and signal processing then, it’s allow extraction of useful results from a large amount of raw data. It’s also, need to maintain a database like Biomolecules, DNA, RNA, Proteins, and Signaling networks, Cells, Organisms and Environment about the users.
Health Care: In Health care centers they use bioinformatics systems to store and retrieve the data. They having separate software to analyze the microarray data for the medical purpose.
Drug Discovery:Here the word Drug define as Chemical. The Data such as Genomic, Epigenetic, Genome architecture, Transcriptomic, Proteomic, and Ribosome profiling those all the mechanism based on Drug Discovery and Drug Repurposing.
Forensic Analysis: It’s the Identification part of the Bioinformatics technology like DNA testing, person identification, Gender identification, Parentage testing, STR system, and Microsatellites.
Crop Improvement:Bioinformatics technology also used in the Agriculture Department. The goal of Crop improvement was to understand the genetic and molecular basis of all biological process in plants.
Food Analysis: Although, Important role of food analysis was predicting and assessing the desired and undesired effects of microorganisms on foods. Analysis the food process, quality improvement and nutritive of food source.
It’s the collection and analysis the data of biodiversity like Taxonomic database, Microbiome and etc. In reality, the persons identifies by the help of Genetic data in Bioinformatics systems. We need to prevent the biological data of clients because it was cloud based systems. Need to avoid ethical issues.
It involves the integration of the computer system, databases and also software tools for addressing the biological questions. In these approaches are often the major activities that will generate large datasets.
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