TOFU-MAaPO: fast, scalable and reproducible analysis of large metagenome sequence data from the Sequence Read Archive
- DOI
- 10.1038/s41467-026-74033-9
- Published
- 2026-06-11
- Container
- Nature Communications
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41467-026-74033-9,
title = {TOFU-MAaPO: fast, scalable and reproducible analysis of large metagenome sequence data from the Sequence Read Archive},
author = {Eike Matthias Wacker and Malte Christoph Rühlemann and Andre Franke and David Ellinghaus},
year = {2026},
journal = {Nature Communications},
doi = {10.1038/s41467-026-74033-9},
url = {https://doi.org/10.1038/s41467-026-74033-9}
}RIS
TY - JOUR TI - TOFU-MAaPO: fast, scalable and reproducible analysis of large metagenome sequence data from the Sequence Read Archive AU - Eike Matthias Wacker AU - Malte Christoph Rühlemann AU - Andre Franke AU - David Ellinghaus PY - 2026 JO - Nature Communications DO - 10.1038/s41467-026-74033-9 UR - https://doi.org/10.1038/s41467-026-74033-9 ER -
APA
Wacker, E. M., Rühlemann, M. C., Franke, A., & Ellinghaus, D. (2026). TOFU-MAaPO: fast, scalable and reproducible analysis of large metagenome sequence data from the Sequence Read Archive. Nature Communications. https://doi.org/10.1038/s41467-026-74033-9
Source records
- crossref · retrieved 2026-09-26T07:43:46.351Z