# Interpreting MultiQC plot of GATK BaseRecalibration data?

I'm using GATK4 to build a somatic variant calling pipeline. The pipeline uses MultiQC to aggregate quality control data, and one of the QC measures reported is base quality score recalibration from GATK4's BaseRecalibraton. The description in MultiQC says

This plot shows the distribution of base quality scores in each sample before and after base quality score recalibration (BQSR). Applying BQSR should broaden the distribution of base quality scores.

The black line is for my tumor sample and blue line is my normal sample. I don't understand how the before and after distributions are both shown in the plot as I only see 1 distribution per sample. Am I missing something, or should there be a "Post-calibration Count" plot that isn't shown? If nothing is missing, how should I be interpreting the plot?

• Did you actually run the ApplyBQSR tool? – Devon Ryan Jan 24 at 11:07
• I ran both BaseRecalibrator and ApplyBQSR and the BAM headers show ApplyBQSR has been run. Is the post calibration data only stored in the BAM files or is it also in the tables output by BaseRecalibrator? If the post calibration data is only in the BAM files, I'm not sure how MultiQC is supposed to know the data exists... – Tomas Bencomo Jan 24 at 20:48
• There may be an option to have GATK output a metrics file. – Devon Ryan Jan 25 at 11:15

Turns out two recalibration tables are needed to show pre-recalibration and post-recalibration plots. I previously only had generated the pre-calibration table by running BaseRecalibrator on the BAM that hadn't undergone ApplyBQSR to adjust base scores. Here are the steps to show pre and post recalibration plots in MultiQC:
1. Run BaseRecalibrator on your initial input BAM. This will create a recalibration table with the original base scores.
2. Run ApplyBQSR with the recalibration table from step 1 to create a new BAM with the adjusted base quality scores.
3. Run BaseRecalibrator on the adjusted BAM generated in step 2 to create a new recalibration table with the adjusted base quality scores.
4. Use both recalibration tables as inputs to MultiQC. This should create both plots.