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        Download the raw data used to create the plots in this report below:

        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 1.0.dev0

        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.

        Report generated on 2020-02-18, 20:02 based on data in: /scratch/mk5636/nextflow_work_dir/dc/231b92ec5f69366f73ee84e44351f0


        General Statistics

        Showing 1/1 rows and 2/3 columns.
        Sample NameInsert Size% Aligned
        HT27VBGXC_2_no_human_sorted_dedup
        198
        0%

        Picard

        Picard is a set of Java command line tools for manipulating high-throughput sequencing data.

        Insert Size

        Plot shows the number of reads at a given insert size. Reads with different orientations are summed.

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        Alignment Summary

        Plase note that Picard's read counts are divided by two for paired-end data.

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        Cluster Flow

        Cluster Flow is a simple and flexible bioinformatics pipeline tool.

        Pipelines

        Information about pipelines is parsed from *.run files.

        Showing 1/1 rows and 1/1 columns.
        Pipeline ID# Starting Files
        unknown
        0

        Pipeline Steps: unknown (None)

        #!/bin/bash
        #SBATCH -D /scratch/mk5636/nextflow_work_dir/dc/231b92ec5f69366f73ee84e44351f0
        #SBATCH -J nf-parseMetrics_(2)
        #SBATCH -o /scratch/mk5636/nextflow_work_dir/dc/231b92ec5f69366f73ee84e44351f0/.command.log
        #SBATCH --no-requeue
        #SBATCH -c 10
        #SBATCH -t 01:00:00
        #SBATCH --mem 30720
        # NEXTFLOW TASK: parseMetrics (2)
        # task environment
        # stage input files

        Commands

        Every Cluster Flow run will have many different commands. MultiQC splits these by whitespace, collects by the tool name and shows the first command found. Any terms not found in all subsequent calls are replaced with [variable] (typically input and ouput filenames). Each column is for one Cluster Flow run.

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        Tool