Another way to check if you have the reference genome. Map your reads to the reference genome, collect reads mapped to the forward strand and in coding regions, and count the number of reads starting at phase 1, 2 and 3 separately. If my hypothesis is correct, the 3 numbers will be statistically different and correlated with the GC% at the 3 phases.
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Great suggestion. Unfortunately, my libraries are metagenomes- so no reference is available. I hope someone else will be able to do this analysis and post the results!Originally posted by lh3 View PostAnother way to check if you have the reference genome. Map your reads to the reference genome, collect reads mapped to the forward strand and in coding regions, and count the number of reads starting at phase 1, 2 and 3 separately. If my hypothesis is correct, the 3 numbers will be statistically different and correlated with the GC% at the 3 phases.
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NGS has revolutionized clinical microbiology by offering new ways to identify and surveil pathogens without prior knowledge of the target. One popular approach is 16S rRNA and ITS amplicon sequencing, which targets specific microbial markers. But studies are increasingly incorporating shotgun metagenomics, a technique that sequences all DNA from a sample without targeting specific microbial markers. This approach allows more detailed taxonomic classification, detection...-
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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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