ImmunoTyper-SR: A computational approach for genotyping immunoglobulin heavy chain variable genes using short-read data

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Abstract

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  1. SciScore for 10.1101/2022.01.31.478564: (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

    Antibodies
    SentencesResources
    2.5 Statistical Association between IGHV Genotype and anti-Type I IFN Autoantibody Presence: First, the 585 samples from the NIAID cohort were filtered for the presence of α, β, ω IFN autoantibody labels.
    anti-Type I
    suggested: None
    Software and Algorithms
    SentencesResources
    2.2 Allele Candidate Assignment: The extracted reads are then mapped to a database of IGHV allele reference sequences using BWA-MEM[30], with the -a option.
    BWA-MEM[30]
    suggested: None
    2.3.4 ILP Model Formulation: Definitions: Let be the set of all WGS reads in the sample.
    WGS
    suggested: None
    The complete allele database was mapped against each assembly using Bowtie2[35] (with -af --end-to-end --very-fast parameters).
    Bowtie2
    suggested: (Bowtie 2, RRID:SCR_016368)

    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.

    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.