Genome-wide variations of SARS-CoV-2 infer evolution relationship and transmission route

  1. Lehai Zhang
  2. Shifu Wang
  3. Qian Ren
  4. Junjie Yang
  5. Yanqin Lu
  6. Lei Zhang
  7. Zhongtao Gai

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Abstract

The authors have withdrawn this manuscript (Genome-wide variations of SARS-CoV-2 infer evolution relationship and transmission route) from medRxiv, because it was found that the statistical and analytical methods used in the manuscript had certain controversies after further discussion, so the authors of the manuscipt disclaimed that this conclusion cannot be used as the basis for the origin and evolution of SARS-COV-2, also as information to guide clinical practice and health-related behaviors, it should not be reported as established facts in the news media and “We-Media”. No one should do too much extended interpretation of the content of this manuscript. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.

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  1. ScreenIT

    SciScore for 10.1101/2020.04.27.20081349: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    No key resources detected.

    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

    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.

  2. Version published to 10.1101/2020.04.27.20081349v2 on medRxiv
  3. Version published to 10.1101/2020.04.27.20081349v1 on medRxiv