Mzion enables deep and precise identification of peptides in data-dependent acquisition proteomics

Authors

Qiang Zhang, Washington University School of Medicine in St. Louis

Journal

Scientific Reports

Publication Date

4-29-2023

Volume

13

Issue

1

First Page

7056

Document Type

Open Access Publication

DOI

10.1038/s41598-023-34323-4

Rights and Permissions

Zhang, Q. Mzion enables deep and precise identification of peptides in data-dependent acquisition proteomics. Sci Rep 13, 7056 (2023). https://doi.org/10.1038/s41598-023-34323-4 This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Recommended Citation

Zhang, Qiang, "Mzion enables deep and precise identification of peptides in data-dependent acquisition proteomics." Scientific Reports. 13, 1. 7056 (2023).
https://digitalcommons.wustl.edu/oa_4/2138

Department

ICTS (Institute of Clinical and Translational Sciences)

Additional Links

Supplemental material is available for this article at publisher site.