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neoantigenR: An annotation based pipeline for tumor neoantigen identification from sequencing data

Shaojun Tang, Subha Madhavan
doi: https://doi.org/10.1101/171843
Shaojun Tang
1Innovation Center for Biomedical Informatics, Georgetown University Medical Center, Washington, DC
2Department of Oncology, Georgetown University Medical Center, Washington, DC
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Subha Madhavan
1Innovation Center for Biomedical Informatics, Georgetown University Medical Center, Washington, DC
2Department of Oncology, Georgetown University Medical Center, Washington, DC
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Article Information

doi 
https://doi.org/10.1101/171843
History 
  • August 8, 2017.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.

Author Information

  1. Shaojun Tang1,2,# and
  2. Subha Madhavan1,2
  1. 1Innovation Center for Biomedical Informatics, Georgetown University Medical Center, Washington, DC
  2. 2Department of Oncology, Georgetown University Medical Center, Washington, DC
  1. ↵#Corresponding author
  2. Corresponding address: Shaojun Tang: Assistant Professor Innovation Center for Biomedical Informatics (ICBI) Georgetown University Medical Center, Georgetown University 2115 Wisconsin Ave NW, Suite 110 Washington, DC 20007 Phone: 202-687-1038 Fax: 202-687-5011
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Posted August 08, 2017.
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neoantigenR: An annotation based pipeline for tumor neoantigen identification from sequencing data
Shaojun Tang, Subha Madhavan
bioRxiv 171843; doi: https://doi.org/10.1101/171843
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neoantigenR: An annotation based pipeline for tumor neoantigen identification from sequencing data
Shaojun Tang, Subha Madhavan
bioRxiv 171843; doi: https://doi.org/10.1101/171843

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