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

• 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

  Full-text index only

  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