Does anyone here have experience in assembling genomes from metagenomic contigs? I have found that this protocol, which is optimized for AMD datasets, works really well for one of our samples (I got two >90% complete genomes out of it). However, I haven't seen much success with our other samples, which are larger and represent perhaps slightly more complex communities. So anyway, if somebody here has experience with this, I'd love to hear some suggestions especially concerning what training input parameters should be tweaked, and how. Thanks.
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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...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