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In silico approach to accelerate the development of mass spectrometry-based proteomics methods for detection of viral proteins: Application to COVID-19

View ORCID ProfileConor Jenkins, View ORCID ProfileBen Orsburn
doi: https://doi.org/10.1101/2020.03.08.980383
Conor Jenkins
1Hood College Department of Biology, Frederick, MD, USA;
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  • For correspondence: conor.jenkins@outlook.com
Ben Orsburn
2University of Virginia School of Medicine, Charlottesville, VA, USA;
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  • For correspondence: orsburn@vt.edu orsburn@vt.edu
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doi 
https://doi.org/10.1101/2020.03.08.980383
History 
  • March 10, 2020.

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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 4.0 International license.

Author Information

  1. Conor Jenkins1 and
  2. Ben Orsburn2,*
  1. 1Hood College Department of Biology, Frederick, MD, USA; conor.jenkins{at}outlook.com
  2. 2University of Virginia School of Medicine, Charlottesville, VA, USA; orsburn{at}vt.edu
  1. ↵*Corresponding author; email: orsburn{at}vt.edu
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Posted March 10, 2020.
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In silico approach to accelerate the development of mass spectrometry-based proteomics methods for detection of viral proteins: Application to COVID-19
Conor Jenkins, Ben Orsburn
bioRxiv 2020.03.08.980383; doi: https://doi.org/10.1101/2020.03.08.980383
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In silico approach to accelerate the development of mass spectrometry-based proteomics methods for detection of viral proteins: Application to COVID-19
Conor Jenkins, Ben Orsburn
bioRxiv 2020.03.08.980383; doi: https://doi.org/10.1101/2020.03.08.980383

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