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).

• 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

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  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

  gm12878 curated bulk training hi-c ctcf matched

• Sensitive detection of somatic mutations in GC-rich cancer gene promoters.

  PMID 42088607 · PMC13136893 · NAR cancer · 2026 · 8 claims · 8 setups

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  Gene promoters, due to high GC content (CpG islands, ~70% of promoters), are systematically undersampled and have poor coverage in whole cancer genomes, causing missed somatic mutation calls

  gm12878 cancer ffpe lines hybrid whole-genome dnase-seq

• SnakeAltPromoter Facilitates Differential Alternative Promoter Analysis.

  PMID 41993886 · PMC13082578 · Computational and structural biotechnology journal · 2026 · 6 claims · 6 setups

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  SnakeAltPromoter is the first unified, reproducible Snakemake workflow that automates alternative promoter analysis from raw RNA-seq data using 3 complementary methods (ProActiv, Salmon, DEXSeq)

  heart brain gm12878 simulated bulk cage rna-seq