A comprehensive LFQ benchmark dataset on modern day acquisition strategies in proteomics.

Van Puyvelde B, Daled S, Willems S, Gabriels R, Gonzalez de Peredo A, Chaoui K, Mouton-Barbosa E, Bouyssié D, Boonen K, Hughes CJ, Gethings LA, Perez-Riverol Y, Bloomfield N, Tate S, Schiltz O, Martens L, Deforce D, Dhaenens M

Open source

DOI: 10.1038/s41597-022-01216-6
Published: 2022 Mar 30
Container: Scientific data
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41597-022-01216-6,
  title = {A comprehensive LFQ benchmark dataset on modern day acquisition strategies in proteomics.},
  author = {Van Puyvelde B and Daled S and Willems S and Gabriels R and Gonzalez de Peredo A and Chaoui K and Mouton-Barbosa E and Bouyssié D and Boonen K and Hughes CJ and Gethings LA and Perez-Riverol Y and Bloomfield N and Tate S and Schiltz O and Martens L and Deforce D and Dhaenens M},
  year = {2022},
  journal = {Scientific data},
  doi = {10.1038/s41597-022-01216-6},
  url = {https://doi.org/10.1038/s41597-022-01216-6}
}

RIS

TY  - JOUR
TI  - A comprehensive LFQ benchmark dataset on modern day acquisition strategies in proteomics.
AU  - Van Puyvelde B
AU  - Daled S
AU  - Willems S
AU  - Gabriels R
AU  - Gonzalez de Peredo A
AU  - Chaoui K
AU  - Mouton-Barbosa E
AU  - Bouyssié D
AU  - Boonen K
AU  - Hughes CJ
AU  - Gethings LA
AU  - Perez-Riverol Y
AU  - Bloomfield N
AU  - Tate S
AU  - Schiltz O
AU  - Martens L
AU  - Deforce D
AU  - Dhaenens M
PY  - 2022
JO  - Scientific data
DO  - 10.1038/s41597-022-01216-6
UR  - https://doi.org/10.1038/s41597-022-01216-6
ER  -

APA

B, V. P., S, D., S, W., R, G., A, G. D. P., K, C., E, M., D, B., K, B., CJ, H., LA, G., Y, P., N, B., S, T., O, S., L, M., D, D., & M, D. (2022). A comprehensive LFQ benchmark dataset on modern day acquisition strategies in proteomics.. Scientific data. https://doi.org/10.1038/s41597-022-01216-6

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pubmed · retrieved 2026-09-26T01:26:08.297Z