scholarly journals Visual Variations between Pairs of SARS-CoV-2 Genomes on Integrated Density Matrix

2020 ◽  
Author(s):  
Minghan Zhu ◽  
Jeffrey Zheng
Keyword(s):  
Genome Sequence ◽  
Medical Application ◽  
Virus Genome ◽  
Order Conditions ◽  
Systematic Expansion ◽  
Einstein Distribution ◽  
Transformation Structure ◽  
The Difference ◽  
Difference Calculation ◽  
Bose Einstein

Abstract This paper is the B2 module of the MAS. The quantification matrix is formed according to the four-base arrangement in the genome sequence. The differences in new coronavirus genome sequencing sequences in different samples were demonstrated by using the most concise methods. Using 4 primitive variable value measures, changes in the virus genome sequence base order conditions were determined. When two relatively large genomic sequences are slightly different, the integrated distribution of the difference calculation is subtly similar to the Bose-Einstein distribution, while the sum calculation shows a powerful distribution complexity. It can be formed under the macroscopic angle and can distinguish 16 combinations of supersymmetric structures. In view of the abundant transformation structure in this kind of transformation system, the detailed exploration remains to be followed by the systematic expansion of theory and medical application.

scholarly journals Visual Variations between Pairs of SARS-CoV-2 Genomes on Integrated Density Matrix

2021 ◽  
Author(s):  
Minghan Zhu ◽  
Jeffrey Zheng
Keyword(s):  
Genome Sequence ◽  
Medical Application ◽  
Virus Genome ◽  
Order Conditions ◽  
Systematic Expansion ◽  
Einstein Distribution ◽  
Transformation Structure ◽  
The Difference ◽  
Difference Calculation ◽  
Bose Einstein

Abstract This paper is the B2 module of the MAS. The quantification matrix is formed according to the four-base arrangement in the genome sequence. The differences in new coronavirus genome sequencing sequences in different samples were demonstrated by using the most concise methods. Using 4 primitive variable value measures, changes in the virus genome sequence base order conditions were deter-mined. When two relatively large genomic sequences are slightly different, the integrated distribution of the difference calculation is subtly similar to the Bose-einstein distribution, while the sum calculation shows a powerful distribution complexity. It can be formed under the macroscopic angle and can distinguish 16 combinations of supersymmetric structures. In view of the abundant transformation structure in this kind of transformation system, the detailed exploration remains to be followed by the systematic expansion of theory and medical application.

VirusTaxo: Taxonomic classification of virus genome using multi-class hierarchical classification by k-mer enrichment

2021 ◽  
Author(s):  
Rajan Saha Raju ◽  
Abdullah Al Nahid ◽  
Preonath Shuvo ◽  
Rashedul Islam
Keyword(s):  
Genome Sequence ◽  
Rna Viruses ◽  
Hierarchical Classification ◽  
Classification Problem ◽  
Virus Genome ◽  
Taxonomic Classification ◽  
Dna Viruses ◽  
Dna And Rna ◽  
Full Length Genome

AbstractTaxonomic classification of viruses is a multi-class hierarchical classification problem, as taxonomic ranks (e.g., order, family and genus) of viruses are hierarchically structured and have multiple classes in each rank. Classification of biological sequences which are hierarchically structured with multiple classes is challenging. Here we developed a machine learning architecture, VirusTaxo, using a multi-class hierarchical classification by k-mer enrichment. VirusTaxo classifies DNA and RNA viruses to their taxonomic ranks using genome sequence. To assign taxonomic ranks, VirusTaxo extracts k-mers from genome sequence and creates bag-of-k-mers for each class in a rank. VirusTaxo uses a top-down hierarchical classification approach and accurately assigns the order, family and genus of a virus from the genome sequence. The average accuracies of VirusTaxo for DNA viruses are 99% (order), 98% (family) and 95% (genus) and for RNA viruses 97% (order), 96% (family) and 82% (genus). VirusTaxo can be used to detect taxonomy of novel viruses using full length genome or contig sequences.AvailabilityOnline version of VirusTaxo is available at https://omics-lab.com/virustaxo/.

scholarly journals Complete Genome Sequence of a Human Norovirus Strain from the United States Classified as Genotype GII.P6_GII.6

2018 ◽  
Vol 6 (22) ◽  
Author(s):  
Haifeng Chen ◽  
Shiliang Wang ◽  
Weimin Wang
Keyword(s):  
United States ◽  
Genome Sequence ◽  
Complete Genome Sequence ◽  
Complete Genome ◽  
Gc Content ◽  
The United States ◽  
Virus Genome ◽  
Full Genome Sequence ◽  
Full Genome ◽  
Virus Genotype

ABSTRACT We report here the complete genome sequence of a GII.6 norovirus strain detected in a clinical fecal specimen from the United States. The virus genome has a length of 7,547 bp and a GC content of 50.1%. Complete norovirus genotyping of the full-genome sequence identified the virus genotype as GII.P6_GII.6.

scholarly journals Stimulated emission of relic gravitons and their super-Poissonian statistics

2019 ◽  
Vol 34 (23) ◽  
pp. 1950185 ◽  
Author(s):  
Massimo Giovannini
Keyword(s):  
Coherent State ◽  
Second Order ◽  
Stimulated Emission ◽  
Initial State ◽  
Einstein Distribution ◽  
Hubble Radius ◽  
Initial States ◽  
Bose Einstein ◽  
Final Degree ◽  
Poissonian Statistics

The degree of second-order coherence of the relic gravitons produced from the vacuum is super-Poissonian and larger than in the case of a chaotic source characterized by a Bose–Einstein distribution. If the initial state does not minimize the tensor Hamiltonian and has a dispersion smaller than its averaged multiplicity, the overall statistics is by definition sub-Poissonian. Depending on the nature of the sub-Poissonian initial state, the final degree of second-order coherence of the quanta produced by stimulated emission may diminish (possibly even below the characteristic value of a chaotic source) but it always remains larger than one (i.e. super-Poissonian). When the initial statistics is Poissonian (like in the case of a coherent state or for a mixed state weighted by a Poisson distribution) the degree of second-order coherence of the produced gravitons is still super-Poissonian. Even though the quantum origin of the relic gravitons inside the Hubble radius can be effectively disambiguated by looking at the corresponding Hanbury Brown–Twiss correlations, the final distributions caused by different initial states maintain their super-Poissonian character which cannot be altered.

scholarly journals On Boundedness of Entropy of Photon Gas in Noncommutative Spacetime

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Kazi Ashraful Alam ◽  
Mir Mehedi Faruk
Keyword(s):  
Black Holes ◽  
Distribution Function ◽  
Phase Space ◽  
Partition Function ◽  
Boltzmann Distribution ◽  
Einstein Distribution ◽  
Entropy Bound ◽  
Photon Gas ◽  
Noncommutative Spacetime ◽  
Bose Einstein

Entropy bound for the photon gas in a noncommutative (NC) spacetime where phase space is with compact spatial momentum space, previously studied by Nozari et al., has been reexamined with the correct distribution function. While Nozari et al. have employed Maxwell-Boltzmann distribution function to investigate thermodynamic properties of photon gas, we have employed the correct distribution function, that is, Bose-Einstein distribution function. No such entropy bound is observed if Bose-Einstein distribution is employed to solve the partition function. As a result, the reported analogy between thermodynamics of photon gas in such NC spacetime and Bekenstein-Hawking entropy of black holes should be disregarded.

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