ClusterApp to visualize, organize, and navigate metabolomics data.

Figueiredo da Costa VH, Karunarathne P, Borelli TC, Amatto IVDS, Ortega ML, Quinn RA, da Silva RR

Open source

DOI
10.1371/journal.pcbi.1014586
Published
2026 Jul
Container
PLoS computational biology
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 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:10.1371/journal.pcbi.1014586,
  title = {ClusterApp to visualize, organize, and navigate metabolomics data.},
  author = {Figueiredo da Costa VH and Karunarathne P and Borelli TC and Amatto IVDS and Ortega ML and Quinn RA and da Silva RR},
  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  - Figueiredo da Costa VH
AU  - Karunarathne P
AU  - Borelli TC
AU  - Amatto IVDS
AU  - Ortega ML
AU  - Quinn RA
AU  - da Silva RR
PY  - 2026
JO  - PLoS computational biology
DO  - 10.1371/journal.pcbi.1014586
UR  - https://doi.org/10.1371/journal.pcbi.1014586
ER  - 

APA

VH, F. D. C., P, K., TC, B., IVDS, A., ML, O., RA, Q., & RR, D. S. (2026). ClusterApp to visualize, organize, and navigate metabolomics data.. PLoS computational biology. https://doi.org/10.1371/journal.pcbi.1014586

Source records