ICGC-TCGA DREAM Somatic Mutation Calling Challenge
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🚧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
Prioritisation of structural variant calls in cancer genomes [PeerJ]
Validating multiple cancer variant callers and prioritization in tumor-only samples
Indel performance of Lancet and other methods on the synthetic tumor #4
Free Bio-IT World Webinar: Machine Learning to Detect Cancer Variants
First challenge to make use of the new NCI Cloud Pilots – Somatic Mutation Challenge – RNA: Best algorithms for detecting all of the abnormal RNA molecules in a cancer cell
Crowdsourcing Cancer Challenge Donnelly Centre for Cellular and Biomolecular Research
Crowd-sourced benchmarking of single-sample tumour subclonal
Accurate somatic variant detection using weakly supervised deep
SENTIEON®, DFETECH
Current perspectives on mass spectrometry-based immunopeptidomics: the computational angle to tumor antigen discovery
Improving somatic variant identification through integration of
DREAMTools: a Python package for scoring
PDF) Optimized pipeline of MuTect and GATK tools to improve the detection of somatic single nucleotide polymorphisms in whole-exome sequencing data
1 Cancer Sequencing Quality & The ICGC-TCGA DREAM Somatic Mutation
Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines - ScienceDirect
