Stanford scientists have created a statistical framework for interpreting next generation sequencing data which obviates the need for sequence alignment references in the most common and fundamental problems in genomics.
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 in Prof. Julia Salzman's laboratory have developed a sensitive, specific algorithm for automated, high-throughput detection of RNA fusions from RNA-Seq data.