ClusterApp to visualize, organize, and navigate metabolomics data
- DOI
- 10.1371/journal.pcbi.1014586
- Published
- 2026-07-29
- Container
- PLOS Computational Biology
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pcbi.1014586,
title = {ClusterApp to visualize, organize, and navigate metabolomics data},
author = {Vinicius Hansel Figueiredo da Costa and Pothuvilage Karunarathne and Tiago Cabral Borelli and Isabela Victorino da Silva Amatto and Matheus de Lima Ortega and Robert A. Quinn and Ricardo R. da Silva},
year = {2026},
journal = {PLOS Computational Biology},
doi = {10.1371/journal.pcbi.1014586},
url = {https://doi.org/10.1371/journal.pcbi.1014586}
}RIS
TY - JOUR TI - ClusterApp to visualize, organize, and navigate metabolomics data AU - Vinicius Hansel Figueiredo da Costa AU - Pothuvilage Karunarathne AU - Tiago Cabral Borelli AU - Isabela Victorino da Silva Amatto AU - Matheus de Lima Ortega AU - Robert A. Quinn AU - Ricardo R. da Silva PY - 2026 JO - PLOS Computational Biology DO - 10.1371/journal.pcbi.1014586 UR - https://doi.org/10.1371/journal.pcbi.1014586 ER -
APA
Costa, V. H. F. D., Karunarathne, P., Borelli, T. C., Amatto, I. V. D. S., Ortega, M. D. L., Quinn, R. A., & Silva, R. R. D. (2026). ClusterApp to visualize, organize, and navigate metabolomics data. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1014586
Source records
- crossref · retrieved 2026-09-25T00:14:52.804Z