Genomic Epidemiology of SARS-CoV-2 in Guangdong Province, China

This article has been Reviewed by the following groups

Read the full article See related articles

Abstract

No abstract available

Article activity feed

  1. SciScore for 10.1101/2020.04.01.20047076: (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
    n=4) sequencing platforms, and (ii) using version 1 of the ARTIC COVID-19 multiplex PCR primers (https://artic.network/ncov-2019), followed by nanopore sequencing on an ONT MinION (n=45).
    MinION
    suggested: (MinION, RRID:SCR_017985)
    Both the concentration and the quality of all isolated RNA samples were measured and checked with the Agilent Bioanalyzer 2100 and Qubit.
    Agilent Bioanalyzer
    suggested: None
    The mapping of cleaned reads was performed against GenBank reference strain MN908947.3 using Bowtie2 (Langmead and Salzberg, 2012).
    Bowtie2
    suggested: (Bowtie 2, RRID:SCR_016368)
    Consensus sequences were generated using samtools 1.2 (Li et al., 2009).
    samtools
    suggested: (SAMTOOLS, RRID:SCR_002105)
    Sequences were aligned using MAFFT v7.4 (Katoh and Standley, 2013) and manually inspected in Geneious v11.0.3 (https://www.geneious.com).
    MAFFT
    suggested: (MAFFT, RRID:SCR_011811)
    Geneious
    suggested: (Geneious, RRID:SCR_010519)
    The ML phylogeny was estimated with PhyML (Guindon et al., 2010) using the HKY+Γ4 substitution model (Hasegawa et al., 1985) with gamma-distributed rate variation (Yang, 1994).
    PhyML
    suggested: (PhyML, RRID:SCR_014629)
    The Bayesian coalescent tree analysis was undertaken in the BEAST (Ayres et al., 2012; Suchard et al., 2018) framework, also using the HKY+Γ4 substitution model with gamma-distributed rate variation with an exponential population growth tree prior and a strict molecular clock.
    BEAST
    suggested: (BEAST, RRID:SCR_010228)

    Results from OddPub: Thank you for sharing your code and 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.