Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines.
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BORIS DOI
Publisher DOI
PubMed ID
29596782
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 project is the result of collaboration from a number of institutes and demonstrates how team science drives extremely large genomics projects.
Date of Publication
2018-03-28
Publication Type
Article
Subject(s)
600 - Technology::610 - Medicine & health
Keyword(s)
PanCanAtlas project TCGA large-scale open science pan-cancer reproducible computing somatic mutation calling
Language(s)
en
Contributor(s)
Ellrott, Kyle | |
Bailey, Matthew H | |
Saksena, Gordon | |
Covington, Kyle R | |
Kandoth, Cyriac | |
Stewart, Chip | |
Hess, Julian | |
Ma, Singer | |
Chiotti, Kami E | |
McLellan, Michael | |
Sofia, Heidi J | |
Hutter, Carolyn | |
Getz, Gad | |
Wheeler, David | |
Ding, Li |
Series
Cell systems
Publisher
Elsevier
ISSN
2405-4712
Access(Rights)
open.access