Scientific Data (Mar 2022)
A comprehensive LFQ benchmark dataset on modern day acquisition strategies in proteomics
- Bart Van Puyvelde,
- Simon Daled,
- Sander Willems,
- Ralf Gabriels,
- Anne Gonzalez de Peredo,
- Karima Chaoui,
- Emmanuelle Mouton-Barbosa,
- David Bouyssié,
- Kurt Boonen,
- Christopher J. Hughes,
- Lee A. Gethings,
- Yasset Perez-Riverol,
- Nic Bloomfield,
- Stephen Tate,
- Odile Schiltz,
- Lennart Martens,
- Dieter Deforce,
- Maarten Dhaenens
Affiliations
- Bart Van Puyvelde
- ProGenTomics, Laboratory of Pharmaceutical Biotechnology, Ghent University
- Simon Daled
- ProGenTomics, Laboratory of Pharmaceutical Biotechnology, Ghent University
- Sander Willems
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry
- Ralf Gabriels
- VIB-UGent Center for Medical Biotechnology, VIB
- Anne Gonzalez de Peredo
- Institut de Pharmacologie et de Biologie Structural (IPBS), Université de Toulouse, CNRS, UPS
- Karima Chaoui
- Institut de Pharmacologie et de Biologie Structural (IPBS), Université de Toulouse, CNRS, UPS
- Emmanuelle Mouton-Barbosa
- Institut de Pharmacologie et de Biologie Structural (IPBS), Université de Toulouse, CNRS, UPS
- David Bouyssié
- Institut de Pharmacologie et de Biologie Structural (IPBS), Université de Toulouse, CNRS, UPS
- Kurt Boonen
- VITO Health
- Christopher J. Hughes
- Waters Corporation
- Lee A. Gethings
- Waters Corporation
- Yasset Perez-Riverol
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus
- Nic Bloomfield
- SCIEX, Concord
- Stephen Tate
- SCIEX, Concord
- Odile Schiltz
- Institut de Pharmacologie et de Biologie Structural (IPBS), Université de Toulouse, CNRS, UPS
- Lennart Martens
- VIB-UGent Center for Medical Biotechnology, VIB
- Dieter Deforce
- ProGenTomics, Laboratory of Pharmaceutical Biotechnology, Ghent University
- Maarten Dhaenens
- ProGenTomics, Laboratory of Pharmaceutical Biotechnology, Ghent University
- DOI
- https://doi.org/10.1038/s41597-022-01216-6
- Journal volume & issue
-
Vol. 9,
no. 1
pp. 1 – 12
Abstract
Measurement(s) Digital Data Repository Technology Type(s) Digital Data Repository
