An Open Infrastructure for Mass Spectrometry Data in R

Johannes Rainer, Marilyn De Graeve, Philippine Louail, Sebastien Gibb, Laurent Gatto

Open source

DOI
10.1007/978-1-0716-5519-1_3
Published
2026-10-16
Container
Methods in Molecular Biology
Publisher
Springer US
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1007/978-1-0716-5519-1_3,
  title = {An Open Infrastructure for Mass Spectrometry Data in R},
  author = {Johannes Rainer and Marilyn De Graeve and Philippine Louail and Sebastien Gibb and Laurent Gatto},
  year = {2026},
  journal = {Methods in Molecular Biology},
  doi = {10.1007/978-1-0716-5519-1_3},
  url = {https://doi.org/10.1007/978-1-0716-5519-1_3}
}

RIS

TY  - JOUR
TI  - An Open Infrastructure for Mass Spectrometry Data in R
AU  - Johannes Rainer
AU  - Marilyn De Graeve
AU  - Philippine Louail
AU  - Sebastien Gibb
AU  - Laurent Gatto
PY  - 2026
JO  - Methods in Molecular Biology
DO  - 10.1007/978-1-0716-5519-1_3
UR  - https://doi.org/10.1007/978-1-0716-5519-1_3
ER  - 

APA

Rainer, J., Graeve, M. D., Louail, P., Gibb, S., & Gatto, L. (2026). An Open Infrastructure for Mass Spectrometry Data in R. Methods in Molecular Biology. https://doi.org/10.1007/978-1-0716-5519-1_3

Source records