IQMMA: Efficient MS1 Intensity Extraction Pipeline Using Multiple Feature Detection Algorithms for DDA Proteomics-Reference-Cited by-同舟云学术

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IQMMA: Efficient MS1 Intensity Extraction Pipeline Using Multiple Feature Detection Algorithms for DDA Proteomics

Published:2023-08-14 Issue:9 Volume:22 Page:2827-2835
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Postoenko Valeriy I.¹²^ORCID,Garibova Leyla A.¹²,Levitsky Lev I.¹^ORCID,Bubis Julia A.¹,Gorshkov Mikhail V.¹^ORCID,Ivanov Mark V.¹^ORCID

Affiliation:

1. V. L. Talrose Institute for Energy Problems of Chemical Physics, N. N. Semenov Federal Research Center of Chemical Physics, Russian Academy of Sciences, Moscow 119334, Russia

2. Moscow Institute of Physics and Technology, National Research University, G. Dolgoprudny, Institutsky Lane 9, Dolgoprudny 141701, Russia

Funder

Russian Science Foundation

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.3c00075

Reference42 articles.

1. Recent advances in mass spectrometry based clinical proteomics: applications to cancer research

2. Proteomics in Clinical Trials and Practice

3. Data‐independent acquisition‐based SWATH ‐ MS for quantitative proteomics: a tutorial

4. Maximizing Peptide Identification Events in Proteomic Workflows Using Data-Dependent Acquisition (DDA)

5. A Strategy to Combine Sample Multiplexing with Targeted Proteomics Assays for High-Throughput Protein Signature Characterization

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