Identifies splicing-associated variants (SAVs). SAVnet is an approach for detecting SAVs based on a list of somatic variants in a cohort and its matched RNA sequencing (RNA-seq) data using a rigorous statistical framework. It was used to perform a comprehensive analysis of a large number of primary cancer samples across 31 cancer types from The Cancer Genome Atlas (TCGA).
Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan; Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan; Division of Molecular Oncology, National Cancer Center Research Institute, Tokyo, Japan
SAVnet funding source(s)
Supported by Grant-in-Aid from the Japan Agency for Medical Research and Development (Advanced Genome Research and Bioinformatics Study to Facilitate Medical Innovation [17km0405207h0002]), Grant-in-Aid for Scientific Research (KAKENHI 15H05912, 15H05909, and 15K00398), National Cancer Center Research and Development Funds (29-E-3), and Post-K Research and Development (R&D) projects (hp170227).