proximity index
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Author(s):  
Sameera Mufazzal ◽  
Noor Zaman Khan ◽  
S. M. Muzakkir ◽  
Arshad Noor Siddiquee ◽  
Zahid Khan

Heliyon ◽  
2020 ◽  
Vol 6 (7) ◽  
pp. e04382
Author(s):  
Lisandro Agost ◽  
Guillermo Angel Velázquez

2020 ◽  
Author(s):  
Pratibha ◽  
Cyril Shaju ◽  
Kamal ◽  
Aman Gupta

Abstract We developed a compact and computationally inexpensive method for in-silico comparison of nucleotide sequences at a macro level using subtraction-percentage plots (SP-plots) of a modified chaos game representation (CGR). Analyzing these plots, we defined the k-mer proximity index quantifying the differences between SARS-CoV-2 and other pathogens’ genome sequences. We categorized 31 pathogens, on the basis of their proximity to SARS-CoV-2, in four groups to possibly plan a treatment strategy for Covid-19.


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