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).

• ChromBERT: A foundation model for learning interpretable representations for context-specific transcriptional regulatory networks.

  PMID 41592570 · PMC13069865 · Cell genomics · 2026 · 8 claims · 7 setups

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  ChromBERT is pre-trained via masked reconstruction on the Cistrome-Human-6K dataset (6,391 cistromes, 991 transcription regulators) to learn genome-wide interaction syntax of transcription regulators

  lines chromosome embryonic transcription chip-seq chromhmm hi-c

• CLAMP: predicting specific protein-mediated chromatin loops in diverse species with a chromatin accessibility language model.

  PMID 41555433 · PMC12903630 · Genome biology · 2026 · 8 claims · 8 setups

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  CLAMP, a chromatin-accessibility language model, predicts protein-mediated chromatin loops across 10 species, 18 proteins, and 24 cell types with superior performance versus existing methods.

  species gm12878 types chromatin cross-protein cross-cell-type

• A generic reference defined by consensus peaks for single-cell ATAC-seq data analysis.

  PMID 41663439 · PMC12996591 · Nature communications · 2026 · 7 claims · 7 setups

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  Aggregating peaks from 624 high-quality bulk ATAC-seq datasets defines ~1.4 million observed consensus peaks (cPeaks) covering ~30% of the genome.

  bulk scatac-seq cnn gm12878 bulk scatac-seq deep

• CircleBase V2: an eccDNA annotation platform across cancers and species.

  PMID 41273082 · PMC12807720 · Nucleic acids research · 2026 · 8 claims · 7 setups

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  CircleBase V2 provides a 12-fold increase in human eccDNA data, comprising over 3.8 million entries from >300 cell types/tissues

  raw eccdna tissues cancer circle-seq motif gene

• maxATAC: Genome-scale transcription-factor binding prediction from ATAC-seq with deep neural networks.

  PMID 36719906 · PMC9917285 · PLoS computational biology · 2023 · 8 claims · 6 setups

  Has reproduction · 98

  maxATAC is a suite of deep neural network models enabling state-of-the-art, genome-scale TFBS prediction from ATAC-seq, with models for 127 human transcription factors

  lines hepg2 types single chip-seq omni-atac-seq atac-seq

• Comprehensive enhancer-target gene assignments improve gene set level interpretation of genome-wide regulatory data.

  PMID 35473573 · PMC9044877 · Genome biology · 2022 · 8 claims · 8 setups

  Has reproduction

  Combining multiple enhancer-definition and enhancer-gene link data sources yields 1860 genome-wide EnTDefs covering >500 cell types

  types encode chip-seq chromhmm dnase-seq

• Statistical framework for calling allelic imbalance in high-throughput sequencing data.

  PMID 39966391 · PMC11836314 · Nature communications · 2025 · 8 claims · 6 setups

  Has reproduction · 89

  MIXALIME is a versatile computational framework for calling allele-specific variants (ASVs) from diverse high-throughput omics data

  wa01 left heart chip-seq rna-seq cage-seq

• Global atlas of enhancer-promoter interactome in cotton genome revealed by profiling RNA-RNA spatial interactions.

  PMID 41484656 · PMC12857045 · Genome biology · 2026 · 8 claims · 8 setups

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  pRIC-seq, an adaptation of RIC-seq for plants, enables genome-wide mapping of RNA-RNA spatial interactions in diploid and tetraploid cotton

  diploid tetraploid cotton nicotiana pric-seq gro-cap chip-seq