Coronavirus sequence analysis
This project aims to test the hypothesis that there is a correlation between the four different groupings of chromosomes. 1. Chromosome 3 with Denisovan chromosome 3 2. Chromosome 3 with Neanderthal chromosome 3 3. Chromosome 12 with Denisovan chromosome 12 4. Chromosome 12 with Neanderthal ch...
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2024
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sg-ntu-dr.10356-1771712024-06-01T16:51:55Z Coronavirus sequence analysis Lee, Kenneth Shu Jian Jun School of Mechanical and Aerospace Engineering MJJShu@ntu.edu.sg Engineering This project aims to test the hypothesis that there is a correlation between the four different groupings of chromosomes. 1. Chromosome 3 with Denisovan chromosome 3 2. Chromosome 3 with Neanderthal chromosome 3 3. Chromosome 12 with Denisovan chromosome 12 4. Chromosome 12 with Neanderthal chromosome 12 By testing the hypothesis of the chromosomes’ correlation, we will be able to better understand the possible mechanisms of how the genetic immune system responds to viral invasion and in this case, why certain patients are critically ill and why others do not possess any of the symptoms. This project will be conducted through bioinformatic analysis from various open-source COVID-19 patient databases. In addition, the project’s limitations will be discussed in this report. Bachelor's degree 2024-05-27T00:36:00Z 2024-05-27T00:36:00Z 2024 Final Year Project (FYP) Lee, K. (2024). Coronavirus sequence analysis. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/177171 https://hdl.handle.net/10356/177171 en application/pdf Nanyang Technological University |
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Engineering Lee, Kenneth Coronavirus sequence analysis |
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This project aims to test the hypothesis that there is a correlation between the four different groupings of chromosomes.
1. Chromosome 3 with Denisovan chromosome 3
2. Chromosome 3 with Neanderthal chromosome 3
3. Chromosome 12 with Denisovan chromosome 12
4. Chromosome 12 with Neanderthal chromosome 12
By testing the hypothesis of the chromosomes’ correlation, we will be able to better understand the possible mechanisms of how the genetic immune system responds to
viral invasion and in this case, why certain patients are critically ill and why others do not possess any of the symptoms. This project will be conducted through bioinformatic analysis from various open-source COVID-19 patient databases. In addition, the project’s limitations will be discussed in this report. |
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Shu Jian Jun |
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Shu Jian Jun Lee, Kenneth |
format |
Final Year Project |
author |
Lee, Kenneth |
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Lee, Kenneth |
title |
Coronavirus sequence analysis |
title_short |
Coronavirus sequence analysis |
title_full |
Coronavirus sequence analysis |
title_fullStr |
Coronavirus sequence analysis |
title_full_unstemmed |
Coronavirus sequence analysis |
title_sort |
coronavirus sequence analysis |
publisher |
Nanyang Technological University |
publishDate |
2024 |
url |
https://hdl.handle.net/10356/177171 |
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1800916128523878400 |