For example, coverage, read depth, read quality and map quality etc
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You could use fastqc for a quick evaluation of read quality, duplication levels and GC content.
coverageBed from the Bedtools suite and a track file of your target regions is your friend regarding coverage analysis.
And on enrichments, you might want to check out calculateHsMetrics from the picard tools suite to deterime if your enrichment was good and how many reads you got on/off target.
Apart from that, I am not aware if there is a all-in-one solution.
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Tumors contain complex mixtures of cell populations that evolve in response to treatment and host-specific factors. Tissue biopsies provide only static snapshots of a tumor’s state. But what if we could follow that evolution over time using a minimally invasive technique?
Liquid biopsies can detect tumor-derived material circulating in the bloodstream, providing a way to study treatment response, detect emerging resistance, and discover new biomarkers. Circulating...-
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