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Accounting for tumor heterogeneity using a sample-specific error model improves sensitivity and specificity in mutation calling for sequencing data

Yu Fan, Xi Liu, Hughes Daniel S. T., Jianjua Zhang, Jianhua Zhang, P. Andrew Futreal, David A. Wheeler, Wang Wenyi
doi: https://doi.org/10.1101/055467
Yu Fan
1Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, U.S.A.
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Xi Liu
2Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Alkek N1419, Houston, TX 77030-3411, U.S.A.
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Hughes Daniel S. T.
2Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Alkek N1419, Houston, TX 77030-3411, U.S.A.
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Jianjua Zhang
3Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, U.S.A.
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Jianhua Zhang
3Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, U.S.A.
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P. Andrew Futreal
3Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, U.S.A.
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David A. Wheeler
2Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Alkek N1419, Houston, TX 77030-3411, U.S.A.
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Wang Wenyi
1Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, U.S.A.
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  • For correspondence: wwang7@mdanderson.org
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Article Information

doi 
https://doi.org/10.1101/055467
History 
  • May 25, 2016.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.

Author Information

  1. Yu Fan1,
  2. Xi Liu2,
  3. Hughes Daniel S. T.2,
  4. Jianjua Zhang3,
  5. Jianhua Zhang3,
  6. P. Andrew Futreal3,
  7. David A. Wheeler2 and
  8. Wang Wenyi*,1
  1. 1Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, U.S.A.
  2. 2Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Alkek N1419, Houston, TX 77030-3411, U.S.A.
  3. 3Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, U.S.A.
  1. ↵*Corresponding author: Wenyi Wang, Department of Bioinformatics and Computational Biology-Unit 1410, The University of Texas MD Anderson Cancer Center, P. O. Box 301402, Houston, TX 77230-1402, U.S.A.; Tel: +01 713 792-5377; FAX: +01 713 563-4242; wwang7{at}mdanderson.org
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Posted May 25, 2016.
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Accounting for tumor heterogeneity using a sample-specific error model improves sensitivity and specificity in mutation calling for sequencing data
Yu Fan, Xi Liu, Hughes Daniel S. T., Jianjua Zhang, Jianhua Zhang, P. Andrew Futreal, David A. Wheeler, Wang Wenyi
bioRxiv 055467; doi: https://doi.org/10.1101/055467
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Accounting for tumor heterogeneity using a sample-specific error model improves sensitivity and specificity in mutation calling for sequencing data
Yu Fan, Xi Liu, Hughes Daniel S. T., Jianjua Zhang, Jianhua Zhang, P. Andrew Futreal, David A. Wheeler, Wang Wenyi
bioRxiv 055467; doi: https://doi.org/10.1101/055467

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