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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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Data for validation STEC workflow

Authors: Bogaerts, Bert; Vanneste, Kevin;

Data for validation STEC workflow

Abstract

Additional data ======== This archive contains additional data for the manuscript "Validation of a bioinformatics workflow for characterization of Shiga Toxin-Producing *Escherichia coli*, applied to a high-quality reference dataset, demonstrates high performance for using WGS for routine pathogen typing" # Notes Samples were analyzed with anonymized file names. They can be linked back to the original sample name as indicated in the Excel sheet. # Content ## Validation results ('all_results.xlsx') This spreadsheet contains detailed results for the validation. It contains all workflow output, corresponding metadata and classification (TP, FN, TN or FP). ## KMA output ('kma.tar') This folder contains the output from KMA for the various assays. They were executed in isolation for each of the assays (instead of with the workflow). ## Example reports ('report_EH1236_*.zip') Example output reports of the workflow for each of the three detection methods on the same sample (EH1236). ## Virulence gene custom database ('virulence_genes_db.fasta') This folder contains a FASTA file with the sequences that were used to evaluate the performance of the virulence gene detection. ## Virulence gene detection ('virulence_gene_detection.tar') This folder contains the output of the virulence gene detection for the three detection methods. This was executed separately because the custom virulence gene database is not included in the bioinformatics workflow. ## Workflow reports ('workflow_reports_updated.tar') This folder contains the output of the workflow for all of the validation samples with the three detection methods. All runs were executed in August 2020, with database updated to the latest available version. A single archive is created for each sample, containing the output for the three bioinformatics approaches (BLAST+, KMA, SRST2). BAM files were omitted from the archives due to their large sizes. ## Workflow reports - validation ('workflow_reports_validation.tar') This folder contains the output reports used for the validation (with older database version, etc). This does not include KMA results because they were validated per-assay (see KMA archive). # Contact For further questions you can contact Bert Bogaerts (bert.bogaerts@sciensano.be)

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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