Motivation Rapid growth in life science data generation has led to large and increasingly distributed collections of sensitive genomic data. To analyse this data, researchers increasingly rely on computational workflows to enable scalable, portable and reproducible analysis. However, these workflows are executed by spe...
Valentin Schneider-Lunitz, Landfried Kraatz, Patrick Magee et al.· bioRxiv· 0 citations
A single-cell multiomics atlas of the human pancreas is presented, profiling over four million cells and nuclei from 57 donors across fetal development, adult homeostasis, and type 2 diabetes.
E. Mereu, D. Balboa, J. Liebig et al.· Cell Metabolism· 1 citation
This work presents SACCELERATOR, an open-source, extensible framework that formalizes expert-guided spatial clustering analysis, and proposes a consensus-guided workflow where descriptive spatial metrics highlight high-entropy regions of method disagreement, enabling targeted feedback for tissue experts.
Jieran Sun, Kirti Biharie, Peiying Cai et al.· Nature Methods· 0 citations
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