Computational Molecular Bioscience

Computational Molecular Bioscience

ISSN Print: 2165-3445
ISSN Online: 2165-3453
www.scirp.org/journal/cmb
E-mail: cmb@scirp.org
"Similarity Studies of Corona Viruses through Chaos Game Representation"
written by Dipendra C. Sengupta, Matthew D. Hill, Kevin R. Benton, Hirendra N. Banerjee,
published by Computational Molecular Bioscience, Vol.10 No.3, 2020
has been cited by the following article(s):
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[3] Visualization and Characterization of Nucleotide Sequences in Bioinformatics: State-of-Art in the Past and Present
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[4] Quantification of the Diversity in Gene Structures Using the Principles of Polarization Mapping
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[5] Prediction of antimicrobial resistance based on whole-genome sequencing and machine learning
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[6] Accurate and fast clade assignment via deep learning and frequency chaos game representation
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[7] An Image visibility graph based method for Genomic data sequencing and classification: its applications to detect SARS-CoV-2 mutant virus variants
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[8] Genomic sequence data analysis using chaos game representation and mean structural similarity index measure to understand COVID-19 strains impacting wave 2 pandemic in India
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[9] Evolutionary Relationship of Protein Sequences of SARS-COV-2 and other viruses Through Chaos Game Representation
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[10] A Comparative Genomic Analysis of Coronavirus Families Using Chaos Game Representation and Fisher-Shannon Complexity
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[11] A Novel integrative method for genomic sequence classification detecting mutant variants – A case study using the method applied to understand COVID-19 strains impacting wave 2 pandemic in India
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[12] Sequencing and Annotated of Goat's Milk using Bioinformatics Tool: ClustalX
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[13] Chaos game representation and its applications in bioinformatics
Computational and Structural Biotechnology Journal, 2021
[14] Genomic sequence data analysis using chaos game representation and mean structural similarity index measure to understand COVID-19 strains …
[15] A Novel integrative method for genomic sequence classification detecting mutant variants–A case study using the method applied to understand COVID …
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