The cost of DNA and RNA sequencing have decreased in recent years to aid effective research and clinical applications; however, the labor time and throughput of preparing DNA and RNA sequencing libraries remains a challenge.
Stanford researchers have developed a new, low-cost method for tumor methylation profiling that enables tumor classification even from low amounts of fragmented DNA characteristic of liquid biopsies.
Stanford Medicine's Ji Research Group has developed a simple, quantitative method for detecting and characterizing gene fusions that uses DNA rather than RNA as analyte.
Metagenomic sequencing offers a powerful approach for the comprehensive monitoring and detection of pathogenic bacteria in food, clinical samples, and the environment.
Dr. Curt Scharfe and colleagues have developed RUSPseq, a method for next generation molecular testing originally conceived to diagnose metabolic disorders in newborns.
Researchers at Stanford have developed the SNAIL-RCA method for inexpensive and efficient multiplexed detection of single RNA molecules in single cells.
Stanford researchers at the Genome Technology Center have developed a simple, reliable, and accurate method for obtaining sequencing information for multiple sites within target nucleic acid.
Researchers in Prof. Julia Salzman's laboratory have developed a sensitive, specific algorithm for automated, high-throughput detection of RNA fusions from RNA-Seq data.
Researchers in Prof. Stephen Quake's laboratory have developed a method to measure the entire fetal genome noninvasively using materials from maternal blood.