Selected article for: "available data and cc NC International license"
Author: Syed Faraz Ahmed; Ahmed A. Quadeer; Matthew R. McKay
Title: Preliminary identification of potential vaccine targets for the COVID-19 coronavirus (SARS-CoV-2) based on SARS-CoV immunological studies
  • Document date: 2020_2_4
    • ID: 7i52vltp_12
    Snippet: . CC-BY-NC 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 It is made available under a The copyright holder for this preprint (which was not peer-reviewed) is the .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/10.1101/2020.02.03.933226 doi: bioRxiv preprint Constructing the phylogenetic tree. We used the publicly available software PASTA v1.6.4 [28] to construct a maximum-likelihood phylogenetic tree of each structural protein using the unique set of sequences in the available dat.....
    Document: . CC-BY-NC 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 It is made available under a The copyright holder for this preprint (which was not peer-reviewed) is the .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/10.1101/2020.02.03.933226 doi: bioRxiv preprint Constructing the phylogenetic tree. We used the publicly available software PASTA v1.6.4 [28] to construct a maximum-likelihood phylogenetic tree of each structural protein using the unique set of sequences in the available data of SARS-CoV, MERS-CoV, and SARS-CoV-2. We additionally included the Zaria Bat coronavirus strain (accession ID: HQ166910.1) to serve as an outgroup. The appropriate parameters for tree estimation are automatically selected in the software based on the provided sequence data. For visualizing the constructed phylogenetic trees, we used the publicly available software Dendroscope v3.6.3 [29] . Each constructed tree was rooted with the outgroup Zaria Bat coronavirus strain, and circular phylogram layout was used.

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