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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Main Author: Tan, Xieng Yiong
Other Authors: Sourav S Bhowmick
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/147995
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Institution: Nanyang Technological University
Language: English
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spelling 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
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering::Information systems::Information interfaces and presentation
Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling
spellingShingle 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
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