🚧On this page:OverviewAccess ICGC-TCGA DREAM Somatic Mutation Calling Challenge resources on the CGCCopy the ICGC-TCGA DREAM Somatic Mutation Calling public projectLearn moreWebinar: Visual interfaceWebinar: Python and APIResources OverviewThe Seven Bridges CGC is proud to launch the ICGC-TCGA DREA
Facilitating Genomics Research with Google Cloud Platform – Google Research Blog
Kaiyi Z. - Gilead Sciences
Best practices for variant calling in clinical sequencing, Genome Medicine
Welcome to Wenyi Wang's home page
ICGC-TCGA-DREAM Somatic Mutation Calling Challenge
Combining accurate tumor genome simulation with crowdsourcing to
Exclusive Look at Sentieon's TNscope
AIVariant: a deep learning-based somatic variant detector for highly contaminated tumor samples
Detecting Somatic Mutations - Ensemble Approach
Crowd-sourced benchmarking of single-sample tumour subclonal
A machine learning approach for somatic mutation discovery