LFQ Benchmark Dataset - Generation Beta: Assessing Modern Proteomics Instruments and Acquisition Workflows with High-Throughput LC Gradients

Van Puyvelde B, Devreese R, Chiva C, Sabidó E, Pfammatter S, Panse C, Rijal JB, Keller C, Batruch I, Pribil P, Vincendet J, Fontaine F, Lefever L, Magalhães P, Deforce D, Nanni P, Ghesquière B, Perez-Riverol Y, Martens L, Carapito C, Bouwmeester R, Dhaenens M.

Open source

DOI
10.64898/2026.01.29.702266
Published
2026-02-02
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Publisher
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Open access
yes

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BibTeX

@article{allodium:10.64898/2026.01.29.702266,
  title = {LFQ Benchmark Dataset - Generation Beta: Assessing Modern Proteomics Instruments and Acquisition Workflows with High-Throughput LC Gradients},
  author = {Van Puyvelde B and  Devreese R and  Chiva C and  Sabidó E and  Pfammatter S and  Panse C and  Rijal JB and  Keller C and  Batruch I and  Pribil P and  Vincendet J and  Fontaine F and  Lefever L and  Magalhães P and  Deforce D and  Nanni P and  Ghesquière B and  Perez-Riverol Y and  Martens L and  Carapito C and  Bouwmeester R and  Dhaenens M.},
  year = {2026},
  doi = {10.64898/2026.01.29.702266},
  url = {https://doi.org/10.64898/2026.01.29.702266}
}

RIS

TY  - JOUR
TI  - LFQ Benchmark Dataset - Generation Beta: Assessing Modern Proteomics Instruments and Acquisition Workflows with High-Throughput LC Gradients
AU  - Van Puyvelde B
AU  -  Devreese R
AU  -  Chiva C
AU  -  Sabidó E
AU  -  Pfammatter S
AU  -  Panse C
AU  -  Rijal JB
AU  -  Keller C
AU  -  Batruch I
AU  -  Pribil P
AU  -  Vincendet J
AU  -  Fontaine F
AU  -  Lefever L
AU  -  Magalhães P
AU  -  Deforce D
AU  -  Nanni P
AU  -  Ghesquière B
AU  -  Perez-Riverol Y
AU  -  Martens L
AU  -  Carapito C
AU  -  Bouwmeester R
AU  -  Dhaenens M.
PY  - 2026
DO  - 10.64898/2026.01.29.702266
UR  - https://doi.org/10.64898/2026.01.29.702266
ER  - 

APA

B, V. P., R, D., C, C., E, S., S, P., C, P., JB, R., C, K., I, B., P, P., J, V., F, F., L, L., P, M., D, D., P, N., B, G., Y, P., L, M., C, C., R, B., & M., D. (2026). LFQ Benchmark Dataset - Generation Beta: Assessing Modern Proteomics Instruments and Acquisition Workflows with High-Throughput LC Gradients. https://doi.org/10.64898/2026.01.29.702266

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