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Nat Methods. 2019 Oct;16(10):939-940. doi: 10.1038/s41592-019-0573-x.

A five-level classification system for proteoform identifications.

Author information

1
Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA. smith@chem.wisc.edu.
2
Department of Chemistry and Molecular Biosciences, Northwestern University, Evanston, IL, USA.
3
National Resource for Translational and Developmental Proteomics, Northwestern University, Evanston, IL, USA.
4
Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA.
5
Department of Cell and Regenerative Biology and Human Proteomics Program, University of Wisconsin-Madison, Madison, WI, USA.
6
Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA, USA.
7
Ion Cyclotron Resonance Program, National High Magnetic Field Laboratory, Tallahassee, FL, USA.
8
Mass Spectrometry for Biology Unit, Institut Pasteur, Paris, France.
9
Department of Chemistry, University of Oxford, Oxford, UK.
10
Department of Chemistry and Biochemistry, University of California, Los Angeles, CA, USA.
11
Environmental Molecular Sciences Laboratory and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
12
University Medical Center, Hamburg-Eppendorf, Hamburg, Germany.
13
Spectroswiss CH, Lausanne, Switzerland.
14
Institute for Research in Biomedicine, Barcelona, Spain.
15
European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, UK.
16
Consortium for Top Down Proteomics, Cambridge, MA, USA.
17
Department of Chemistry and Molecular Biosciences, Northwestern University, Evanston, IL, USA. n-kelleher@northwestern.edu.
18
National Resource for Translational and Developmental Proteomics, Northwestern University, Evanston, IL, USA. n-kelleher@northwestern.edu.
PMID:
31451767
DOI:
10.1038/s41592-019-0573-x

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