On a recent RNAseq run we are seeing a strange effect where duplication levels in R1 are much higher than in R2. We have never seen this before, nor has anyone we asked including the core that generated the data. Does anyone have ideas? This was a SMARTer stranded kit and Illumina sequencing (not sure which, either Hiseq or Novaseq I think). The only wrinkle is that this is RNA from blood platelets, so not complete transcriptome coverage.
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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?
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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.
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