Experiments
Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).
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Predicting enhancer-gene links from single-cell multi-omics data by integrating prior Hi-C information.
PMID 42100854 · PMC13229940 · Nucleic acids research · 2026 · 8 claims · 6 setups
SCEG-HiC, a weighted graphical lasso (wglasso) method, predicts enhancer-gene links from single-cell multi-omics data by integrating bulk average Hi-C as a prior penalty matrix
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Benchmarking component choices for unpaired single cell RNA and epigenomic integration.
PMID 41987329 · PMC13192178 · Genome biology · 2026 · 7 claims · 8 setups
Gene activity scores (GAS) show limited correlation with actual gene expression but effectively preserve cellular neighborhood structure and support clustering.
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Human-scATAC-Corpus: a comprehensive database of scATAC-seq data.
PMID 41296545 · PMC12807747 · Nucleic acids research · 2026 · 8 claims · 6 setups
Human-scATAC-Corpus is a comprehensive database of human scATAC-seq data comprising 5,407,621 cells from 35 datasets across 37 tissues or cell lines
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A multi-omic single-cell landscape of perinatal mouse skin maps lineage specification and reveals shared dynamics in human fetal skin.
PMID 41998142 · PMC13144478 · Experimental & molecular medicine · 2026 · 7 claims · 8 setups
Integrated scATAC/scRNA multi-omics analysis of developing mouse skin identifies gene network axes underlying skin lineage specification
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Single-cell multiome and enhancer connectome of human retinal pigment epithelium and choroid nominate causal variants in macular degeneration.
PMID 41528844 · PMC12971065 · Cell reports · 2026 · 8 claims · 8 setups
Generated a single-cell gene expression and chromatin accessibility (multiome) atlas of human RPE and choroid from control and AMD eyes
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CIRCE: a scalable Python package to predict cis-regulatory DNA interactions from single-cell chromatin accessibility data.
PMID 41734268 · PMC12987762 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 5 setups
CIRCE re-implements the Cicero co-accessibility algorithm in Python, producing near-identical results while running much faster and using far less memory
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Hi-Compass: a depth-aware deep learning framework for predicting cell-type-specific 3D genome organization from single-cell to spatial resolution.
PMID 41980945 · PMC13250166 · Nature communications · 2026 · 8 claims · 8 setups
Hi-Compass predicts cell-type-specific Hi-C contact maps using only ATAC-seq as cell-type-specific input, plus DNA sequence and a generalized CTCF binding profile