Evidence for host-dependent RNA editing in the transcriptome of SARS-CoV-2

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Abstract

Host deaminases shape the viral RNA genome and its evolution by targeting its RNA.

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  1. SciScore for 10.1101/2020.03.02.973255: (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
    We used TRIMMOMATIC ( 59 ) to trim the reads of those samples to 100 bp , with the following command line: trimmomatic SE SRR* . fastq SRR* . trimmed.fastq CROP:100 We aligned the FASTQ files using Burrows-Wheeler Aligner ( BWA ) ( 60 ) using the official sequence of SARS-CoV-2 ( NC_045512 . 2 ) as reference genome.
    TRIMMOMATIC
    suggested: (Trimmomatic, SCR_011848)
    | samtools sort –O BAM -o SRR*_ . bam The aligned bams have been analysed with QUALIMAP ( 62) .
    samtools
    suggested: (SAMTOOLS, SCR_002105)
    Due to a high error rate reported by QUALIMAP , samples SRR11059943 and SRR10971381 have been removed from the analysis .
    QUALIMAP
    suggested: (QualiMap, SCR_001209)
    To avoid potential artifacts due to strand bias , we used the AS_StrandOddsRatio parameter calculated following GATK guidelines ( ( https://gatk.broadinstitute.org/hc/en-us/articles/360040507111-AS- StrandOddsRatio) , and any mutation with a AS_StrandOddsRatio > 4 has been removed from the dataset.
    GATK
    suggested: (GATK, SCR_001876)
    bam Mutations common to the datasets generated by Reditools 2 and JACUSA were considered ( n = 910 , Fig .
    Reditools
    suggested: (REDItools, SCR_012133)
    Data manipulation R packages ( Biostrings , rsamtools , ggseqlogo ggplot2 , splitstackshape ) and custom Perl scripts were used to handle the data .
    ggplot2
    suggested: (ggplot2, SCR_014601)
    SARS-CoV-2 , SARS and MERS genomic data were prepared for the Logi alignment using the GenomicRanges R package ( 63)
    GenomicRanges
    suggested: (GenomicRanges, SCR_000025)
    Consensus sequences of SARS and MERS genomes were built using the “cons” tool from the EMBOSS suite (http://bioinfo.nhri.org.tw/gui/) with default settings.
    EMBOSS
    suggested: (EMBOSS, SCR_008493)
    SARS-CoV-2 genomic sequences were downloaded from GISAID (https://www.gisaid.org/) and aligned with MUSCLE (64).
    MUSCLE
    suggested: (MUSCLE, SCR_011812)

    Results from OddPub: Thank you for sharing your data.


    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 is not a substitute for expert review. SciScore checks for the presence and correctness of RRIDs (research resource identifiers) in the manuscript, and detects sentences that appear to be missing RRIDs. SciScore also checks to make sure that rigor criteria are addressed by authors. It does this by detecting sentences that discuss criteria such as blinding or power analysis. SciScore does not guarantee that the rigor criteria that it detects are appropriate for the particular study. Instead it assists authors, editors, and reviewers by drawing attention to sections of the manuscript that contain or should contain various rigor criteria and key resources. For details on the results shown here, including references cited, please follow this link.