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10.1016/j.gene.2020.100038

http://scihub22266oqcxt.onion/10.1016/j.gene.2020.100038
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suck abstract from ncbi


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pmid32835214      Gene+X 2020 ; 5 (ä): 100038
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  • Time-series analyses of directional sequence changes in SARS-CoV-2 genomes and an efficient search method for candidates for advantageous mutations for growth in human cells #MMPMID32835214
  • Wada K; Wada Y; Ikemura T
  • Gene X 2020[Dec]; 5 (ä): 100038 PMID32835214show ga
  • We first conducted time-series analysis of mono- and dinucleotide composition for over 10,000 SARS-CoV-2 genomes, as well as over 1500 Zaire ebolavirus genomes, and found clear time-series changes in the compositions on a monthly basis, which should reflect viral adaptations for efficient growth in human cells. We next developed a sequence alignment free method that extensively searches for advantageous mutations and rank them in an increase level for their intrapopulation frequency. Time-series analysis of occurrences of oligonucleotides of diverse lengths for SARS-CoV-2 genomes revealed seven distinctive mutations that rapidly expanded their intrapopulation frequency and are thought to be candidates of advantageous mutations for the efficient growth in human cells.
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