I am using Samtools v0.1.12a to query 1000 Genomes data. When using samtools tview to locations where STR repeats should occur, most of the repeats are the same for most of the samples even on very fast moving markers. Most of the 1000 Genomes literature seems to be around finding SNPs, so I haven't found anything on why the STR data is the way it is. Does anyone know why?
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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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