# “On Bait” reads localized to ACCESS panel
**Theoretical Method**
Divide the number of reads mapping to ACCESS genome bait regions by the sample’s total read count.
{% hint style="info" %}
Note: This metric comes from the standard BAM
{% endhint %}
**Technical Methods**
* Tool Used:
* waltz.jar CountReads
* aggregate\_bam\_metrics.sh
* tables\_module.py
* plots\_module.r
* Input
* ACCESS pool A and pool B bed files
* Standard Bam (tables also produced for U / S / D bams)
* Output
* Text file with the read count information: “sample\_id.bam.read-counts.txt”
* Text files for aggregated results “read-counts.txt”
**Interpretations**\
Ideally should be between 60%-80% and should not drop below 50% for ctDNA samples (A + B targets combined). Because A and B targets are mixed in 50:1 ratio, there should be a larger on-target rate for the A targets. If the rate drops below 50%, with adequate read counts, this could be indicative of a bad capture. For buffy coats, this is about 35%-45%.
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