Endonuclease-based genotyping of the RBM as a method to track the emergence or evolution of SARS-CoV-2 variants

  1. Eva Lopez
  2. Margot Barthélémy
  3. Cécile Baronti
  4. Shirley Masse
  5. Alessandra Falchi
  6. Fabien Durbesson
  7. Renaud Vincentelli
  8. Xavier de Lamballerie
  9. Rémi Charrel
  10. Bruno Coutard

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Abstract

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  1. Version published to 10.1016/j.isci.2021.103329
  2. ScreenIT

    SciScore for 10.1101/2021.06.16.21259035: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: The ethics committee of University of Corsica Pascal Paoli (IRB UCPP 2020-01) approved this study.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Linearity of the designed system: To determine the linearity of the designed system, real time RT-PCR was performed with QuantiTect SYBR Green RT-PCR Kit (#204243, Qiagen), on a BioRad CFX96™ thermal cycler, software version 3.0 (Bio-Rad Laboratories).
    Bio-Rad Laboratories
    suggested: (Bio-Rad Laboratories, RRID:SCR_008426)

    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.

    Results from scite Reference Check: We found no unreliable references.

    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.

  3. Version published to 10.1101/2021.06.16.21259035v1 on medRxiv