Dr. Curt Scharfe and colleagues have developed RUSPseq, a method for next generation molecular testing originally conceived to diagnose metabolic disorders in newborns.
Stanford researchers have developed a framework describing an end-to-end approach that infers experimental properties directly from nucleic acid sequence, using a principled statistical mechanical representation of the structure ensemble.
Researchers at Stanford have developed the SNAIL-RCA method for inexpensive and efficient multiplexed detection of single RNA molecules in single cells.
Researchers at Stanford, supported in part by the Chan Zuckerberg Biohub, have developed an integrated system for the automated generation, screening, and characterization of base-modified aptamers.
RNA replication and amplification have broad applications across biomedicine, but current methods are limited by a reliance on inefficient, multi-step protocols.
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.
Stanford researchers have invented a C-Aperture Nano-Tip which provides a new way to further enhance the optical resolution down to smaller than 15 nm.
Researchers in Prof. Julia Salzman's laboratory have developed an efficient statistically driven tool to improve the accuracy of biomolecules in samples that have a wide range of concentrations.
Researchers at Stanford have developed a high-throughput barcoding method that greatly improves sequencing accuracy and makes it possible to do robust single molecule profiling, since it can trace duplicate sequencing reads to their original single molecule clones.
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 Dr. Hanlee Ji's lab have developed a targeted sequencing method known as short tandem repeat (STR) sequencing (STR-Seq) which improves target selection specificity to generate only the STR spanning reads.
Stanford researcher Paul Norman has developed an integrated capture/next-gen sequencing/ bioinformatics method to completely characterize the structure and sequence of the highly polymorphic killer cell immunoglobulin-like receptor (KIR) genes to aid in donor matching for clin
ChiRP (“Chromatin Isolation through RNA Purification”) is a patented RNA “interactomics” technique developed in Prof. Howard Chang's laboratory to capture and identify DNA, RNA or protein molecules that interact with any RNA of interest in a cell.