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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CTCFBSDB: a CTCF-binding site database for characterization of vertebrate genomic insulators.
PMID 17981843 · PMC2238977 · Nucleic acids research · 2008 · 7 claims · 8 setups
CTCF is the only identified trans-acting factor in vertebrates that confers enhancer-blocking insulator activity
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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
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3D-super-enhancers are condensate-associated cis-regulatory communities.
PMID 41797539 · PMC12968393 · Nucleic acids research · 2026 · 8 claims · 8 setups
BOUQUET integrates genome topology, chromatin occupancy, and graph theory (label propagation) to assign CREs and transcription protein machinery to target genes and identify protein-rich 'communities' associated with condensates.
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Has reproduction · 70
Predicting enhancers in mammalian genomes using supervised hidden Markov models.
PMID 30917778 · PMC6437899 · BMC bioinformatics · 2019 · 8 claims · 8 setups
eHMM predicts enhancers with high precision and recall comparable to state-of-the-art methods and consistently outperforms them in accuracy and resolution
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Chromatin architecture reprogramming reveals novel epigenetic dependencies in breast cancer.
PMID 41412800 · PMC12849445 · Genes & development · 2026 · 7 claims · 7 setups
H3K9 methylation and the demethylase KDM4C, through association with SWI/SNF, drive proliferation of cells fated to become endocrine-resistant via a nongenomic estrogen-mediated mechanism
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EpiXFormer: a cross-attention neural network for predicting cell type-specific transcription factor binding sites.
PMID 41527854 · PMC12796812 · Briefings in bioinformatics · 2026 · 8 claims · 8 setups
EpiXFormer achieves high accuracy (mean AUROC ~0.99) predicting binding sites of both TFs and non-sequence-specific DBPs across 199 DBP-cell type pairs