Detection of Phenotype-Related Mutations of COVID-19 via the Whole Genomic Data

Lv, Jin-Xiong; Tu, Shikui; Xu, Lei

doi:10.1109/tcbb.2021.3049836

Cited by 5 publications

(2 citation statements)

References 38 publications

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“…T HE worldwide COVID-19 pandemic has caused severe strain on healthcare systems and has had a detrimental impact on society and economies all over the world [40]. To date, growing attention has been paid to visualization techniques, such as visual dashboards [28], [30], [45], CT diagnoses [21], [22], and genomics modeling [23], [24] as a way of helping domain experts comprehend, analyze, and model COVID-19 [40]. As such, visual analytics is helping to contain and control this global crisis [36].…”

Section: Introductionmentioning

confidence: 99%

ClinicLens: Visual Analytics for Exploring and Optimizing the Testing Capacity of Clinics given Uncertainty

Yu¹,

Liu²,

Cao³

et al. 2023

Preprint

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Clinic testing plays a critical role in containing infectious diseases such as COVID-19. However, one of the key research questions in fighting such pandemics is how to optimize testing capacities across clinics. In particular, domain experts expect to know exactly how to adjust the features that may affect testing capacities, given that dynamics and uncertainty make this a highly challenging problem. Hence, as a tool to support both policymakers and clinicians, we collaborated with domain experts to build ClinicLens, an interactive visual analytics system for exploring and optimizing the testing capacities of clinics. ClinicLens houses a range of features based on an aggregated set of COVID-19 data. It comprises Back-end Engine and Front-end Visualization that take users through an iterative exploration chain of extracting, training, and predicting testing-sensitive features and visual representations. It also combines AI4VIS and visual analytics to demonstrate how a clinic might optimize its testing capacity given the impacts of a range of features. Three qualitative case studies along with feedback from subject-matter experts validate that ClinicLens is both a useful and effective tool for exploring the trends in COVID-19 and optimizing clinic testing capacities across regions. The entire approach has been open-sourced online: https://github.com/YuDong5018/clinic-lens.

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Section: Introductionmentioning

confidence: 99%

ClinicLens: Visual Analytics for Exploring and Optimizing the Testing Capacity of Clinics given Uncertainty

Yu¹,

Liu²,

Cao³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…DNA sequencing [4] is the genetic engineering technique which deals with finding out the sequences of nucleic acid and the nucleotide arrangement in a given deoxyribonucleic acid. It comprises all the methods or technologies that are used in finding out the order of occurrence of the 4 bases A, G, C, T discussed above, in a deoxyribonucleic acid.…”

Section: Introductionmentioning

confidence: 99%

Correlation-Based Analysis of COVID-19 Virus Genome Versus Other Fatal Virus Genomes

et al. 2021

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Virus attacks have had devastating effects on mankind. The prominent viruses such as Ebola virus ( 2012), SARS-CoV or Severe acute respiratory syndrome, Middle East respiratory syndrome-related coronavirus called as the MERS (EMC/2012), Spanish flu (H1N1 virus-1918) and the most recent COVID-19(SARS-CoV-2) are the ones that have created a difficult situation for the survival of the human race. Currently, throughout the world, a global pandemic situation has put economy, livelihood and human existence in a very pathetic situation. Most of the above-mentioned viruses exhibit some similar characteristics and genetic pattern. Analysing such characteristics and genetic pattern can help the researchers to get a deeper insight into the viruses and helps in finding appropriate medicine or cure. To address these issues, this paper proposes an experimental analysis of the above-mentioned viruses data using correlation methods. The virus data considered for the experimental analysis include the distribution of various amino acids, protein sequences, 3D modelling of viruses, pairwise alignment of proteins that comprise the DNA genome of the viruses. Furthermore, this comparative analysis can be used by the researchers and organizations like WHO(World Health Organization), computational biologists, genetic engineers to frame a layout for studying the DNA sequence distribution, percentage of GC (guanine-cytosine) protein which determines the heat stability of viruses. We have used the Biopython to illustrate the gene study of prominent viruses and have derived results and insights in the form of 3D modelling. The experimental results are more promising with an accuracy rate of 96% in overall virus relationship calculation.

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A Review of Protein Sequences of COVID-19 Using Machine Learning and Deep Learning Approaches

Golwelkar,

Kothari

2023

2023 IEEE International Conference on ICT in Business Industry &Amp; Government (ICTBIG)

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Detection of Phenotype-Related Mutations of COVID-19 via the Whole Genomic Data

Cited by 5 publications

References 38 publications

ClinicLens: Visual Analytics for Exploring and Optimizing the Testing Capacity of Clinics given Uncertainty

ClinicLens: Visual Analytics for Exploring and Optimizing the Testing Capacity of Clinics given Uncertainty

Correlation-Based Analysis of COVID-19 Virus Genome Versus Other Fatal Virus Genomes

A Review of Protein Sequences of COVID-19 Using Machine Learning and Deep Learning Approaches

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