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).

• TF2TG: an online resource mining the potential gene targets of transcription factors in Drosophila.

  PMID 40314147 · PMC12774851 · Genetics · 2026 · 8 claims · 8 setups

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  TF2TG is an online resource integrating motif scan data, ChIP-seq peaks (modENCODE/modERN), Hi-C (TADs), REDfly-curated CRMs, ATAC-seq, protein-protein interaction data, and tissue-specific expression to predict TF-target gene relationships in Drosophila

  drosophila combined motif chip-seq whole-animal

• A clustering property of highly-degenerate transcription factor binding sites in the mammalian genome.

  PMID 16670430 · PMC1456330 · Nucleic acids research · 2006 · 8 claims · 7 setups

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  Highly-degenerate RE1 sites are significantly enriched in promoters of validated and putative REST target genes compared to control promoters

  orthologous randomized high-score promoters pssm-based comparative motif

• Reconstructing transcriptional regulatory networks through genomics data.

  PMID 20048387 · PMC3666560 · Statistical methods in medical research · 2009 · 7 claims · 5 setups

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  Location data (ChIP-chip/ChIP-seq) alone is insufficient for TRN inference because binding does not imply regulation, TF binding is dynamic across conditions/time, and TRNs involve combinatorial effects of multiple TFs not captured by single-TF ChIP experiments.

  yeast generic perturbations followed chip-chip chip-seq gene

• High-throughput chromatin information enables accurate tissue-specific prediction of transcription factor binding sites.

  PMID 18988630 · PMC2662491 · Nucleic acids research · 2009 · 8 claims · 8 setups

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  Incorporating H3K4me3 chromatin modification estimates greatly improves the accuracy of in silico prediction of in vivo TF binding for a wide range of TFs in human and mouse

  embryonic neural t-cells mm8 chip-seq chip-chip pwm

• 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

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  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

  dbps tfs common ctcf deep comparative feature-ablation

• Development of double-positive thymocytes at single-cell resolution.

  PMID 33771202 · PMC8004397 · Genome medicine · 2021 · 7 claims · 8 setups

  Has reproduction · 86

  DP thymocytes can be classified into blast, rearrangement, and selection subtypes, distinguishable by surface markers CD2 and Ly6d

  thymocytes sorted thymocyte scrna-seq flow immunofluorescence