Recently, I been worked with RNA sequencing data analysis concerning a set of 80 candidate genes. Here is my library preparation workflow, RNA was reverse transcribed to cDNA which was used for capture by Angilent customized probes, then proceed to high through sequencing. After mapping, I want to do DEG analysis, which software should I to use when my gene number is limited? or I just calculate RPKM and simply identify DEGs by fold change > 2?
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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