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  3. Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines.
 

Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines.

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BORIS DOI
10.7892/boris.126391
Date of Publication
March 28, 2018
Publication Type
Article
Contributor
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
Subject(s)

600 - Technology::610...

Series
Cell systems
ISSN or ISBN (if monograph)
2405-4712
Publisher
Elsevier
Language
English
Publisher DOI
10.1016/j.cels.2018.03.002
PubMed ID
29596782
Uncontrolled Keywords

PanCanAtlas project T...

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.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/64175
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FileFile TypeFormatSizeLicensePublisher/Copright statementContent
1-s2.0-S2405471218300966-main.pdftextAdobe PDF2.64 MBAttribution (CC BY 4.0)publishedOpen
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