Detection of a SARS-CoV-2 variant of concern in South Africa

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Abstract

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  1. SciScore for 10.1101/2020.12.21.20248640: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Mutations were confirmed visually with bam files using Geneious software (Biomatters Ltd, New Zealand).
    Geneious
    suggested: (Geneious, RRID:SCR_010519)
    This was selected from the Nextstrain global reference dataset, plus the five most similar sequences to each of the South African sequences as defined by a local BLAST search.
    BLAST
    suggested: (BLASTX, RRID:SCR_001653)
    The pipeline contains several python scripts that manage the analysis workflow.
    python
    suggested: (IPython, RRID:SCR_001658)
    We extracted this cluster and constructed a preliminary maximum likelihood (ML) tree in IQ-tree, together with eight basal sequences from the region sampled June-September 2020.
    IQ-tree
    suggested: (IQ-TREE, RRID:SCR_017254)
    We inspected this ML tree in TempEst v1.5.3 for the presence of a temporal (i.e. molecular clock) signal.
    TempEst
    suggested: (TempEst, RRID:SCR_017304)
    As above, MCMC chains were run in duplicate for 100 million generations and sampled every 10 000 steps, with convergence assessed using Tracer v1.7.1.
    Tracer
    suggested: (Tracer, RRID:SCR_019121)
    Selection analysis: To identify which, if any, of the observed mutations in the spike protein was most likely to increase viral fitness, we used the natural selection analysis of SARS-CoV-2 pipeline (https://observablehq.com/@spond/revised-sars-cov-2-analytics-page).
    SARS-CoV-2
    suggested: (Active Motif Cat# 91351, RRID:AB_2847848)
    We used the Pymol program (The PyMOL Molecular Graphics System, Version 2.2.0, Schrödinger, LLC.) for visualization.
    PyMOL
    suggested: (PyMOL, RRID:SCR_000305)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.


    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


    Results from JetFighter: We did not find any issues relating to colormaps.


    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

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