Using point mutation and structural variant patterns in 133 ovarian cancer cases, researchers identified seven clusters to classify the disease and predict patient outcomes.
The consortium is collecting data from different omics streams for a cohort of individuals with autism spectrum disorders with the long-term goal of improving treatment.
The method allows analysis of copy number at the individual cell level with greater coverage uniformity and more reliable detection than other approaches.
The researchers used whole-genome and single-cell sequencing to study cell migration patterns and clonal diversity, using new single-cell genotyping software.
