Published March 28, 2018 | Version v1

Mutation Calls from the TCGA MC3 project (filtered)

  • 1. Biomedical Engineering, Oregon Health and Science University, Portland, OR 97239, USA
  • 2. Division of Oncology, Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA
  • 3. Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
  • 4. Barcelona Supercomputing Centre (BSC), Barcelona, Spain

Description

The Cancer Genome Atlas (TCGA) cancer genomics dataset includes over 10,000 tumor-normal exome pairs across 33 different cancer types, in total >400 TB of raw data files requiring analysis. Here we describe the Multi-Center Mutation Calling in Multiple Cancers project, our effort to generate a comprehensive encyclopedia of somatic mutation calls for the TCGA data to enable robust cross-tumor-type analyses. Our approach accounts for variance and batch effects introduced by the rapid advancement of DNA extraction, hybridization-capture, sequencing, and analysis methods over time. We present best practices for applying an ensemble of seven mutation-calling algorithms with scoring and artifact filtering. The dataset created by this analysis includes 3.5 million somatic variants and forms the basis for PanCan Atlas papers. The results have been made available to the research community along with the methods used to generate them.

This dataset was filtered for the 2018 PanCancer analysis, according to the methods specified in Bailey, Tokheim, Porta-Pardo et al, 2018 ( http://dx.doi.org/10.1016/j.cell.2018.02.060 )

 

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Related works

Is cited by
10.1016/j.cell.2018.02.060 (DOI)
Is compiled by
10.1016/j.cels.2018.03.002 (DOI)