GRAPH OF SARS-COV-2 CONFIRMED RNA IN ASIA BASED ON ANALYSIS OF MOLECULAR VARIANCE
In the end of 2019, a new disease was discovered caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) called COVID-19. By understanding the evolutionary aspects, it can help produce information that can be used in production of drugs, vaccines and government policies related to act...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/55186 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | In the end of 2019, a new disease was discovered caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) called COVID-19. By understanding the evolutionary aspects, it can help produce information that can be used in production of drugs, vaccines and government policies related to act of prophylaxis. In this work, RNA sequences of confirmed SARS-CoV-2 was treated by analysis molecular of variance (AMOVA), analysis forest graph, and centrality measure. AMOVA is an alternative criterion in optimizing the choice of minimum spanning tree. Then the result of AMOVA is used as an information of forest graph construction using fuzzy relationship approach. Population pattern of suspect SARS-CoV-2 in Asia shows a significant genetic diversity. Evaluation of centrality measure was provide an information that thet key population in forest graph is Taiwan. |
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