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).

• Directing stem cell differentiation by chromatin state approximation.

  PMID 41734818 · PMC12956330 · Nucleic acids research · 2026 · 8 claims · 8 setups

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  Greedy selection of culture conditions by chromatin (ATAC-seq) distance to target is a viable optimisation strategy for differentiation protocols

  cd34+ cd34+-derived erythroid bone atac-seq flow rt-qpcr

• Simultaneous epigenomic profiling and regulatory activity measurement using e2MPRA.

  PMID 41535307 · PMC12913623 · Nature communications · 2026 · 8 claims · 8 setups

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  e2MPRA, combining lentiviral integration-based MPRA with CUT&Tag or ATAC-seq, enables simultaneous measurement of regulatory activity, protein binding, and epigenetic modification of the same synthetic CRE sequences.

  hepg2 lentimpra atac-seq h3k27ac

• Transcription-coupled and epigenome-encoded mechanisms direct H3K4 methylation.

  PMID 35953471 · PMC9372134 · Nature communications · 2022 · 8 claims · 8 setups

  Has reproduction · 83

  ATX1, ATX2, and ATXR7 redundantly mediate H3K4 monomethylation genome-wide

  arabidopsis chip-seq western random

• Uncertainty-aware genomic deep learning with knowledge distillation.

  PMID 41523993 · PMC12779563 · NPJ artificial intelligence · 2026 · 7 claims · 6 setups

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  DEGU distills an ensemble of teacher DNNs into a single student model by jointly predicting the ensemble mean and the variability (epistemic uncertainty) across ensemble predictions.

  drosophila k562 deepstarr starr-seq starr-seq-derived lentimpra base-resolution

• Nucleosome regulatory dynamics in response to TGFβ.

  PMID 24771338 · PMC4066760 · Nucleic acids research · 2014 · 8 claims · 7 setups

  Has reproduction · 59

  SuMMIt, a Bayesian strand-based mixture model requiring support from both ends of sequenced fragments, enables precise nucleosome mid-position calling, fuzziness scoring and between-condition change detection.

  hepatocellular hepg2 130-bp mnase strand-specific taqman