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MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics

publication published on 19 January 2022
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Summary

MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics is a publication[1].

Key Facts

  • MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics authored Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics — author (P50): Agnete Kirkeby[2].
  • MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics authored Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics — author (P50): Moritz Heusel[3].
  • MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics's instance of is recorded as Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics — instance of (P31): publication[4].
  • MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics's copyright license is recorded as Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics — copyright license (P275): Creative Commons Attribution 4.0 International[5].
  • MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics's page is recorded as 535-546[6].
  • MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics's DOI is recorded as 10.1021/ACS.JPROTEOME.1C00796[7].
  • MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics's issue is recorded as 2[8].
  • MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics's volume is recorded as 21[9].
  • MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics's publication date is recorded as +2022-01-19T00:00:00Z[10].
  • MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics's PubMed publication ID is recorded as 35042333[11].
  • MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics's PMC publication ID is recorded as 8822486[12].
  • MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics's published in is recorded as Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics — published in (P1433): Journal of Proteome Research[13].
  • MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics's title is recorded as MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics[14].
  • MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics's author name string is recorded as Marc Isaksson[15].
  • MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics's author name string is recorded as Christofer Karlsson[16].
  • MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics's author name string is recorded as Thomas Laurell[17].
  • MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics's cites work is recorded as Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics — cites work (P2860): A cross-platform toolkit for mass spectrometry and proteomics[18].
  • MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics's cites work is recorded as Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics — cites work (P2860): A repository of assays to quantify 10,000 human proteins by SWATH-MS.[19].
  • MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics's cites work is recorded as Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics — cites work (P2860): Statistical control of peptide and protein error rates in large-scale targeted data-independent acquisition analyses[20].
  • MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics's cites work is recorded as Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics — cites work (P2860): Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: a new concept for consistent and accurate proteome analysis[21].
  • MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics's cites work is recorded as Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics — cites work (P2860): A multicenter study benchmarks software tools for label-free proteome quantification[22].
  • MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics's cites work is recorded as Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics — cites work (P2860): OpenSWATH enables automated, targeted analysis of data-independent acquisition MS data[23].
  • MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics's describes a project that uses is recorded as Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics — describes a project that uses (P4510): ggplot2[24].
  • MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics's copyright status is recorded as Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics — copyright status (P6216): copyrighted[25].

Body

Designation and Status

MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics's instance of is recorded as Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics — instance of (P31): publication[4].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [4] ↑ . Europe PubMed Central. Retrieved . ebi.ac.uk. Provenance: wikidata.org.
  2. [2] ↑ . Europe PubMed Central. Retrieved . ebi.ac.uk. Provenance: wikidata.org.
  3. [3] ↑ . Europe PubMed Central. Retrieved . ebi.ac.uk. Provenance: wikidata.org.
  4. [5] ↑ . April 2022 Public Data File from Crossref. wikidata.org.
  5. [6] ↑ . Europe PubMed Central. Retrieved . ebi.ac.uk. Provenance: wikidata.org.
  6. [7] ↑ . Europe PubMed Central. Retrieved . ebi.ac.uk. Provenance: wikidata.org.
  7. [8] ↑ . Europe PubMed Central. Retrieved . ebi.ac.uk. Provenance: wikidata.org.
  8. [9] ↑ . Europe PubMed Central. Retrieved . ebi.ac.uk. Provenance: wikidata.org.
  9. [10] ↑ . Europe PubMed Central. Retrieved . ebi.ac.uk. Provenance: wikidata.org.
  10. [11] ↑ . Europe PubMed Central. Retrieved . ebi.ac.uk. Provenance: wikidata.org.
  11. [12] ↑ . Europe PubMed Central. Retrieved . ebi.ac.uk. Provenance: wikidata.org.
  12. [13] ↑ . Europe PubMed Central. Retrieved . ebi.ac.uk. Provenance: wikidata.org.
  13. [14] ↑ . Europe PubMed Central. Retrieved . ebi.ac.uk. Provenance: wikidata.org.
  14. [15] ↑ . Europe PubMed Central. Retrieved . ebi.ac.uk. Provenance: wikidata.org.
  15. [16] ↑ . Europe PubMed Central. Retrieved . ebi.ac.uk. Provenance: wikidata.org.
  16. [17] ↑ . Europe PubMed Central. Retrieved . ebi.ac.uk. Provenance: wikidata.org.
  17. [18] ↑ . COCI. Retrieved . opencitations.net. Provenance: wikidata.org.
  18. [19] ↑ . COCI. Retrieved . opencitations.net. Provenance: wikidata.org.
  19. [20] ↑ . COCI. Retrieved . opencitations.net. Provenance: wikidata.org.
  20. [21] ↑ . COCI. Retrieved . opencitations.net. Provenance: wikidata.org.
  21. [22] ↑ . COCI. Retrieved . opencitations.net. Provenance: wikidata.org.
  22. [23] ↑ . COCI. Retrieved . opencitations.net. Provenance: wikidata.org.
  23. [24] ↑ . PubMed Central. Retrieved . eutils.ncbi.nlm.nih.gov. Provenance: wikidata.org.
  24. [25] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics. Retrieved May 3, 2026, from https://4ort.xyz/entity/mslibrarian-optimized-predicted-spectral-libraries-for-data-independent-acquisition-proteomics
MLA “MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/mslibrarian-optimized-predicted-spectral-libraries-for-data-independent-acquisition-proteomics.
BibTeX @misc{4ortxyz_mslibrarian-optimized-predicted-spectral-libraries-for-data-independent-acquisition-proteomics_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics}}, year = {2026}, url = {https://4ort.xyz/entity/mslibrarian-optimized-predicted-spectral-libraries-for-data-independent-acquisition-proteomics}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics — https://4ort.xyz/entity/mslibrarian-optimized-predicted-spectral-libraries-for-data-independent-acquisition-proteomics (retrieved 2026-05-03)

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