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).

• 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

• Parameter-efficient fine-tuning enables scalable transfer of regulatory sequence models to novel contexts.

  PMID 41618434 · PMC12930932 · Genome biology · 2026 · 8 claims · 7 setups

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  PEFT enables accurate transfer of Borzoi to new datasets while significantly reducing GPU memory and runtime compared to joint training or full fine-tuning

  gtex encode wi-38 thp-1 bulk eqtl variant-flowfish

• CONTRAST: a discriminative, phylogeny-free approach to multiple informant de novo gene prediction.

  PMID 18096039 · PMC2246271 · Genome biology · 2007 · 8 claims · 5 setups

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  CONTRAST predicts exact coding region structures for 65% more human genes than the previous state-of-the-art de novo predictor (N-SCAN)

  genome sequence drosophila novo gene coding

• miRGen: a database for the study of animal microRNA genomic organization and function.

  PMID 17108354 · PMC1669779 · Nucleic acids research · 2007 · 8 claims · 6 setups

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  miRGen is an integrated database combining Genomics, Targets, and Clusters interfaces to study miRNA genomic organization and function across 11 animal genomes

  animal genome mouse-human mirna genomic mirna cross-species

• 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