Catching SARS-CoV-2 by Sequence Hybridization: a Comparative Analysis

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Abstract

Sequencing the genomes of the circulating SARS-CoV-2 strains is the only way to monitor the viral spread and evolution of the virus. Two different approaches, namely, tiling multiplex PCR and sequence hybridization by bait capture, are commonly used to fulfill this task.

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  1. SciScore for 10.1101/2021.02.05.429917: (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.
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Experimental Models: Cell Lines
    SentencesResources
    Cultivation and Purification of SARS-CoV-2: SARS-CoV-2 virus was cultured in Vero E6 cells with MEM containing 2% FBS at 37° C with 5% CO2 and was harvested 72 hours post infection.
    Vero E6
    suggested: None
    Software and Algorithms
    SentencesResources
    For enrichment of the Twist libraries with either the SARS-CoV-2 specific or the Respiratory Panel, the manual “Twist Target Enrichment Protocol” was followed without any exception.
    SARS-CoV-2
    suggested: (Active Motif Cat# 91351, RRID:AB_2847848)
    Data Analysis: Sequenced reads were cleaned from PCR duplicates using clumpify from the BBTools package40 prior subsampling them to 130,000 reads using seqtk41 to get normalized datasets for each pool.
    BBTools
    suggested: (Bestus Bioinformaticus Tools, RRID:SCR_016968)
    The number of mapped reads were determined using samtools flagstat43 and coverage information was obtained using bedtools genomecov44.
    samtools
    suggested: (SAMTOOLS, RRID:SCR_002105)
    bedtools
    suggested: (BEDTools, RRID:SCR_006646)

    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 found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).


    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.
    • No funding statement was detected.
    • 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.