Visual analytics of coronaviruses data
Coronaviruses (CoV) are a family of viruses that may cause respiratory diseases such as Middle East Respiratory Syndrome (MERS-CoV) and Severe Acute Respiratory Syndrome (SARS-CoV), and more recently CoVid-19. The genomic and proteomic data of these viruses from different labs are publicly availa...
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sg-ntu-dr.10356-1479952021-04-22T02:35:57Z Visual analytics of coronaviruses data Tan, Xieng Yiong Sourav S Bhowmick School of Computer Science and Engineering ASSourav@ntu.edu.sg Engineering::Computer science and engineering::Information systems::Information interfaces and presentation Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling Coronaviruses (CoV) are a family of viruses that may cause respiratory diseases such as Middle East Respiratory Syndrome (MERS-CoV) and Severe Acute Respiratory Syndrome (SARS-CoV), and more recently CoVid-19. The genomic and proteomic data of these viruses from different labs are publicly available in various public data sources such as GenBank, EMBL and SwissProt etc. These data are dynamic and are regularly updated on public databases. They are analysed and research results are shared online to increase the speed and efficiency of pandemic research, potentially saving more lives. Bioinformatics tools are used to analyse biological data from these databases. This project details the implementation of biodeltaviz – a visual analytics tool on top of BiDel (A software which identifies differences in biological data) to analyze such data across different types of CoV as well as different versions of data within a specific type of CoV. Bachelor of Engineering (Computer Science) 2021-04-22T02:35:57Z 2021-04-22T02:35:57Z 2021 Final Year Project (FYP) Tan, X. Y. (2021). Visual analytics of coronaviruses data. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/147995 https://hdl.handle.net/10356/147995 en SCSE20-0168 application/pdf Nanyang Technological University |
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Engineering::Computer science and engineering::Information systems::Information interfaces and presentation Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling Tan, Xieng Yiong Visual analytics of coronaviruses data |
description |
Coronaviruses (CoV) are a family of viruses that may cause respiratory diseases such
as Middle East Respiratory Syndrome (MERS-CoV) and Severe Acute Respiratory
Syndrome (SARS-CoV), and more recently CoVid-19. The genomic and proteomic
data of these viruses from different labs are publicly available in various public data
sources such as GenBank, EMBL and SwissProt etc.
These data are dynamic and are regularly updated on public databases. They are
analysed and research results are shared online to increase the speed and efficiency
of pandemic research, potentially saving more lives. Bioinformatics tools are used to
analyse biological data from these databases.
This project details the implementation of biodeltaviz – a visual analytics tool on top
of BiDel (A software which identifies differences in biological data) to analyze such
data across different types of CoV as well as different versions of data within a
specific type of CoV. |
author2 |
Sourav S Bhowmick |
author_facet |
Sourav S Bhowmick Tan, Xieng Yiong |
format |
Final Year Project |
author |
Tan, Xieng Yiong |
author_sort |
Tan, Xieng Yiong |
title |
Visual analytics of coronaviruses data |
title_short |
Visual analytics of coronaviruses data |
title_full |
Visual analytics of coronaviruses data |
title_fullStr |
Visual analytics of coronaviruses data |
title_full_unstemmed |
Visual analytics of coronaviruses data |
title_sort |
visual analytics of coronaviruses data |
publisher |
Nanyang Technological University |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/147995 |
_version_ |
1698713705778249728 |