Author: Karthi Balasubramanian; Nithin Nagaraj
Title: Automatic Identification of SARS Coronavirus using Compression-Complexity Measures Document date: 2020_3_27
ID: ljli6a2z_46
Snippet: . CC-BY-NC-ND 4.0 International license author/funder. It is made available under a The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.03.24.006007 doi: bioRxiv preprint Table 3 : Pairwise mean distances for the three viruses -Avian, BJ01 and Urbani. We have averaged across 100 short contiguous segments of length 30 nucleotide bases each. These 100 were chosen independently at random locatio.....
Document: . CC-BY-NC-ND 4.0 International license author/funder. It is made available under a The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.03.24.006007 doi: bioRxiv preprint Table 3 : Pairwise mean distances for the three viruses -Avian, BJ01 and Urbani. We have averaged across 100 short contiguous segments of length 30 nucleotide bases each. These 100 were chosen independently at random locations of the entire genome. The mean distance between the two SARS-CoV-1 viruses BJ01 and Urbani is the least for both LZ and ETC measures.
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