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

Publication ,  Journal Article
Ellrott, K; Bailey, MH; Saksena, G; Covington, KR; Kandoth, C; Stewart, C; Hess, J; Ma, S; Chiotti, KE; McLellan, M; Sofia, HJ; Hutter, C ...
Published in: Cell Syst
March 28, 2018

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.

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Published In

Cell Syst

DOI

ISSN

2405-4712

Publication Date

March 28, 2018

Volume

6

Issue

3

Start / End Page

271 / 281.e7

Location

United States

Related Subject Headings

  • Software
  • Sequence Analysis, DNA
  • Neoplasms
  • Mutation
  • Information Dissemination
  • Humans
  • High-Throughput Nucleotide Sequencing
  • Genomics
  • Exome Sequencing
  • Exome
 

Citation

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Ellrott, K., Bailey, M. H., Saksena, G., Covington, K. R., Kandoth, C., Stewart, C., … Cancer Genome Atlas Research Network, . (2018). Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines. Cell Syst, 6(3), 271-281.e7. https://doi.org/10.1016/j.cels.2018.03.002
Ellrott, Kyle, Matthew H. Bailey, Gordon Saksena, Kyle R. Covington, Cyriac Kandoth, Chip Stewart, Julian Hess, et al. “Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines.Cell Syst 6, no. 3 (March 28, 2018): 271-281.e7. https://doi.org/10.1016/j.cels.2018.03.002.
Ellrott K, Bailey MH, Saksena G, Covington KR, Kandoth C, Stewart C, et al. Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines. Cell Syst. 2018 Mar 28;6(3):271-281.e7.
Ellrott, Kyle, et al. “Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines.Cell Syst, vol. 6, no. 3, Mar. 2018, pp. 271-281.e7. Pubmed, doi:10.1016/j.cels.2018.03.002.
Ellrott K, Bailey MH, Saksena G, Covington KR, Kandoth C, Stewart C, Hess J, Ma S, Chiotti KE, McLellan M, Sofia HJ, Hutter C, Getz G, Wheeler D, Ding L, MC3 Working Group, Cancer Genome Atlas Research Network. Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines. Cell Syst. 2018 Mar 28;6(3):271-281.e7.
Journal cover image

Published In

Cell Syst

DOI

ISSN

2405-4712

Publication Date

March 28, 2018

Volume

6

Issue

3

Start / End Page

271 / 281.e7

Location

United States

Related Subject Headings

  • Software
  • Sequence Analysis, DNA
  • Neoplasms
  • Mutation
  • Information Dissemination
  • Humans
  • High-Throughput Nucleotide Sequencing
  • Genomics
  • Exome Sequencing
  • Exome