PreprintCited by 4Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and ApplicationsBioinformatics and Genomic Networks

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Observations from the proteomics bench

Open access

Preprint — published as 10.3390/proteomes12010006

Abstract

Many challenges in proteomics result from the high-throughput nature of the experiments. The paper first presents pre-analytical problems, which still occur, although the call for standardisation in omics has been ongoing for many years. This article also discusses aspects, which affect bioinformatic analysis, based on three sets of reference data measured with different orbitrap instruments. Despite continuous advances in mass spectrometer technology as well as analysis software, data set-wise quality control is still necessary and decoy-based estimation, although challenged by modern instruments, should be utilized. We draw attention to the fact that numerous young researchers perceive proteomics as a mature, readily applicable technology. However, it is important to emphasize that the maximum potential of the technology can only be realized by an educated handling of its limitations.

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Registry

Crossref · 10.20944/preprints202401.0493.v1

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1 of 1 references verified0 citation errors · 0 not checkable

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Metadata

Authors
König, S., Schork, K., & Eisenacher, M.
Affiliations
  • University of Münster (DE)
  • Ruhr University Bochum (DE)
Corresponding author
König, Simone
Venue
Proteomes
Publisher
MDPI AG
Published
2024-01-05
Volume
12
Issue
1
Pages
6-6
ISSN
2227-7382 (ISSN-L)
OpenAlex
W4391576496
Cited by
4
References
1
Citations by year
2026: 1 · 2025: 1 · 2024: 2
FWCI
0.50
Type
journal article
Language
en
Open access
Locations
  • Proteomes (publishedVersion, cc-by)
  • Preprints.org (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
  • Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
Keywords
proteomics, Orbitrap mass spectrometer, reference dataset, data quality control, bioinformatics analysis, high-throughput proteomics

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