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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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  • Supplemental Agilent[supplements/980383_file04.csv]
  • Supplemental Thermo Altis generation[supplements/980383_file05.csv]
  • Supplemental Thermo Quantiva generation[supplements/980383_file06.csv]
  • Supplemental SCIEX[supplements/980383_file07.csv]
  • Supplemental Shimdzu[supplements/980383_file08.txt]
  • Supplemental Thermo Q Exactive Transitions[supplements/980383_file09.csv]
  • Supplemental Waters XEVO[supplements/980383_file10.csv]
  • Supplemental_2019-nCoVpFASTAs1-2[supplements/980383_file11.zip]
  • Supplemental_MSP_Trypsin_ProSit_Spectral_Library[supplements/980383_file12.zip]
  • Supplemental ModPred PTM results and Summary[supplements/980383_file13.zip]
  • Supplemental Thermo PRM Instrument Method Files[supplements/980383_file14.zip]
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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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