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        Note that additional data was saved in multiqc_data when this report was generated.


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        If you use plots from MultiQC in a publication or presentation, please cite:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

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        About MultiQC

        This report was generated using MultiQC, version 1.11

        You can see a YouTube video describing how to use MultiQC reports here: https://youtu.be/qPbIlO_KWN0

        For more information about MultiQC, including other videos and extensive documentation, please visit http://multiqc.info

        You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: https://github.com/ewels/MultiQC

        MultiQC is published in Bioinformatics:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

        A modular tool to aggregate results from bioinformatics analyses across many samples into a single report.

        This report has been generated by the nf-core/epitopeprediction analysis pipeline. For information about how to interpret these results, please see the documentation.

        Report generated on 2021-12-21, 12:41 based on data in: /tmp/nxf.s06fJo6poY


        nf-core/epitopeprediction Software Versions

        are collected at run time from the software output.

        Process Name Software Version
        CSVTK_CONCAT csvtk 0.23.0
        CSVTK_SPLIT csvtk 0.23.0
        CUSTOM_DUMPSOFTWAREVERSIONS python 3.9.5
        yaml 5.4.1
        FRED2_GENERATEPEPTIDES fred2 2.0.7
        python 2.7.15
        MERGE_JSON_MULTI python 3.8.3
        MERGE_JSON_SINGLE python 3.8.3
        PEPTIDE_PREDICTION_PEP fred2 2.0.7
        mhcflurry 1.4.3
        mhcnuggets 2.3.2
        pandas 0.24.2
        python 2.7.15
        pyvcf 0.6.8
        PEPTIDE_PREDICTION_PROTEIN fred2 2.0.7
        mhcflurry 1.4.3
        mhcnuggets 2.3.2
        pandas 0.24.2
        python 2.7.15
        pyvcf 0.6.8
        PEPTIDE_PREDICTION_VAR fred2 2.0.7
        mhcflurry 1.4.3
        mhcnuggets 2.3.2
        pandas 0.24.2
        python 2.7.15
        pyvcf 0.6.8
        SAMPLESHEET_CHECK python 3.8.3
        SPLIT_PEPTIDES NFCORE_EPITOPEPREDICTION:EPITOPEPREDICTION:SNPSIFT_SPLIT {'snpsift': ''}
        python 3.8.3
        SPLIT_PEPTIDES_PROTEIN python 3.8.3
        Workflow Nextflow 21.10.3
        nf-core/epitopeprediction 2.0.0

        nf-core/epitopeprediction Workflow Summary

        - this information is collected when the pipeline is started.

        Core Nextflow options

        revision
        2.0.0
        runName
        sleepy_legentil
        launchDir
        /
        workDir
        /nf-core-awsmegatests/work/epitopeprediction/work-1afbbf19ed6adca477451a3c42e2e0ac0c75af28
        projectDir
        /.nextflow/assets/nf-core/epitopeprediction
        userName
        root
        profile
        test_full,aws_tower
        configFiles
        /.nextflow/assets/nf-core/epitopeprediction/nextflow.config, /nextflow.config

        Input/output options

        input
        https://raw.githubusercontent.com/nf-core/test-datasets/epitopeprediction/testdata/sample_sheets/sample_sheet_full_test.csv
        outdir
        s3://nf-core-awsmegatests/epitopeprediction/results-1afbbf19ed6adca477451a3c42e2e0ac0c75af28

        Reference genome options

        igenomes_ignore
        true

        External software

        netmhcpan_path
        N/A
        netmhc_path
        N/A
        netmhciipan_path
        N/A
        netmhcii_path
        N/A

        Institutional config options

        config_profile_name
        Full test profile
        config_profile_description
        Full test dataset to check pipeline function
        config_profile_contact
        Gisela Gabernet (@ggabernet)
        config_profile_url
        https://aws.amazon.com/batch/

        Max job request options

        max_memory
        128 GB
        max_time
        10d