Does anyone have any advice on denoising Illumina reads (specifically 16s reads from a HiSeq)? I've had a look in the literature and most of the denoising algorithms available seem to be aimed at 454 sequencing (and not really applicable to Illumina since they work on flowgram files). The only real possibility seems to be Rosen et al (2012). I would be very interested to hear about anyone's experience using this or any other approach for denoising Illumina data.
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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,...10-30-2026, 06:46 AM -
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