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1.
Marella, B. et al.: MeTime: An R package for reproducible longitudinal metabolomics data analysis. Bioinfo. Adv. 6:vbag252 (2026)
2.
Møller-Larsen, R. et al.: seqme : A Python library for evaluating biological sequence design from generative models. Bioinfo. Adv. 6:vbag212 (2026)
3.
Watter, M.* et al.: Accelerating metadata annotation in collaborative research centers: A hybrid AI workflow for biomedical entities. Bioinfo. Adv. 6:vbag283 (2026)
4.
Seep, L.* et al.: cOmicsArt-a customizable omics analysis and reporting tool. Bioinfo. Adv. 5:vbaf067 (2025)
5.
Monroy Kuhn, J.M. ; Miok, V. & Lutter, D.: Correlation-guided Network Integration (CoNI), an R package for integrating numerical omics data that allows multiform graph representations to study molecular interaction networks. Bioinfo. Adv. 2:vbac042 (2022)
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