Article Information
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
- Yu Fan1,
- Xi Liu2,
- Hughes Daniel S. T.2,
- Jianjua Zhang3,
- Jianhua Zhang3,
- P. Andrew Futreal3,
- David A. Wheeler2 and
- Wang Wenyi*,1
- 1Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, U.S.A.
- 2Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Alkek N1419, Houston, TX 77030-3411, U.S.A.
- 3Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, U.S.A.
- ↵*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
Posted May 25, 2016.
Accounting for tumor heterogeneity using a sample-specific error model improves sensitivity and specificity in mutation calling for sequencing data
