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Similar to the alignment report (#117) , a report should be generated using the multiqc output from AndersenLab/wi-gatk.
The multiqc datasets are:
multiqc_sources.json multiqc_bcftools_stats.json multiqc_data.json multiqc_general_stats.json multiqc_qualimap_bamqc_genome_results.json multiqc_snpeff.json
I will convert these to csv to make them easier to work with. I will also add metrics at the strain level (currently all are aggregate).
All graphs and data should be looked at in aggregate and on a strain-level.
Examples:
# of SNPs
# of Indels
# of MNPs
The text was updated successfully, but these errors were encountered:
danrlu
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Similar to the alignment report (#117) , a report should be generated using the multiqc output from AndersenLab/wi-gatk.
The multiqc datasets are:
I will convert these to csv to make them easier to work with. I will also add metrics at the strain level (currently all are aggregate).
All graphs and data should be looked at in aggregate and on a strain-level.
Examples:
# of SNPs
# of Indels
# of MNPs
The text was updated successfully, but these errors were encountered: