School is out! I just finished my sophomore year of high school. One of my last projects was in my honors biology class. All of us students had to pick a biotechnology device for a presentation. Luckily, bioinformatics was an option. I am familiar with bioinformatics due to my research on data science. It is a device used in the biological or health care field of data science. In this post, I will be sharing my learnings from my project to give you all an insight into that specific data science
tool.
To start, bioinformatics is the storage and analysis of large amounts of biochemical and biological data using computer science. That includes using algorithms and computer software. Bioinformatic specialists retrieve large amounts of data. Then, they build databases to contain the information, analyze their findings, and then make proposals to solve a problem.
Also, in my project, I provided three examples of how bioinformatics is used in real life. Such as forensic analysis, climate change prevention, and disease control. I explained how bioinformatic tools were used after 9/11 and the South Asian Tsunami of 2004 to manage, analyze, and compare large numbers of biological data samples. Those tools helped identify deceased or missing people, but they can also be used to identify criminals in other cases. Next, bioinformatic tools can be utilized to lower carbon emissions to stop global climate change. Scientists can propose ways to decrease carbon dioxide content by studying the genomes of microbial organisms that contribute to increasing the levels of carbon dioxide emission. Lastly, using those devices can help identify genes, establish their functions, and develop gene-based strategies for preventing, diagnosing, and treating diseases like malaria and ebola.
Another part of my project covered the pros of bioinformatics. First, one of the biggest advantages of all data science devices is that it allows scientists to work with large amounts of data. In addition, discovering people’s genetic makeup will create more of an understanding of genes that contribute to diseases and help health care providers. Because with more of an understanding of genes and diseases, they will have a better idea of how their patient should be treated. Finally, bioinformatics can lead to new and more specific classifications of diseases. That is because diseases could now be reclassified according to their genetic characteristics as opposed to their symptoms.
In sum, through my research, I concluded that bioinformatics is extremely useful and versatile. And similar to the rest of the data science fields, it is forever evolving and will be a growing practice in years to come.
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