SARS Coronavirus-2 variant tracing within the first Coronavirus Disease 19 clusters in northern Germany

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Abstract

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  1. SciScore for 10.1101/2020.06.11.20127332: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: The local ethics committee of the City of Hamburg approved the study (PV7306).
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablePatient 1, a male laboratory worker in his late 40s, with type II diabetes and high BMI.
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Experimental Models: Cell Lines
    SentencesResources
    Cell culture and virus isolation: Vero E6 cells (ATCC® CRL-1586) were propagated in DMEM containing 3% FCS, 1% Penicillin/ Streptomycin, 1 % L-Glutamine, 1 % Sodium pyruvate, 1 % non-essential amino acids (Gibco/ Thermo Fisher, Waltham, USA) under standard culture conditions.
    Vero E6
    suggested: None
    Software and Algorithms
    SentencesResources
    MiSeq v2 kit (Illumina)
    MiSeq
    suggested: (A5-miseq, RRID:SCR_012148)
    Only high confidence variants present in > 33% of reads within at least one individual sample were included and annotated using ANNOVAR (22).
    ANNOVAR
    suggested: (ANNOVAR, RRID:SCR_012821)
    Data were clustered by hclust clustering method ward.D2.
    hclust
    suggested: (HCLUST, RRID:SCR_009154)

    Results from OddPub: Thank you for sharing your data.


    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

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.