Math is not my strong point! I've pooled 12 samples, previously quantified by KAPA quant, based on their size-adjusted concentration. My library peaks average 700 bp. The KAPA quant of the pooled, size-adjusted library is less than I expected (not super low, just a bit lower than I was aiming for). Was the problem just pipetting or should I have pooled based on the non-adjusted concentration? I'm not sure that I haven't adjusted for size twice, and I don't want to overload the MiSeq.
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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...10-14-2026, 09:55 AM -
Researchers using sequencing and genomics tools often have to make trade-offs. They can choose between speed or scale, short reads or long-range information, or targeted panels or a view of the whole transcriptome. New technologies that have been released this year are built to address those tough choices.
We asked six companies the same four questions to learn about their latest products. The new technologies bring a lot to the table, including rethinking sequencing...