Computational Tools for LC–IMS–MS Data Processing in Metabolomics

Dylan H. Ross, Nathalie Muñoz, Harsh Bhotika, Xueyun Zheng, Aivett Bilbao

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DOI: 10.1007/978-1-0716-5452-1_8
Published: 2026
Container: Methods in Molecular Biology
Publisher: Springer US
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/978-1-0716-5452-1_8,
  title = {Computational Tools for LC–IMS–MS Data Processing in Metabolomics},
  author = {Dylan H. Ross and Nathalie Muñoz and Harsh Bhotika and Xueyun Zheng and Aivett Bilbao},
  year = {2026},
  journal = {Methods in Molecular Biology},
  doi = {10.1007/978-1-0716-5452-1_8},
  url = {https://doi.org/10.1007/978-1-0716-5452-1_8}
}

RIS

TY  - JOUR
TI  - Computational Tools for LC–IMS–MS Data Processing in Metabolomics
AU  - Dylan H. Ross
AU  - Nathalie Muñoz
AU  - Harsh Bhotika
AU  - Xueyun Zheng
AU  - Aivett Bilbao
PY  - 2026
JO  - Methods in Molecular Biology
DO  - 10.1007/978-1-0716-5452-1_8
UR  - https://doi.org/10.1007/978-1-0716-5452-1_8
ER  -

APA

Ross, D. H., Muñoz, N., Bhotika, H., Zheng, X., & Bilbao, A. (2026). Computational Tools for LC–IMS–MS Data Processing in Metabolomics. Methods in Molecular Biology. https://doi.org/10.1007/978-1-0716-5452-1_8

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crossref · retrieved 2026-11-10T12:00:46.216Z