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).
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A comparative analysis of genome-wide chromatin immunoprecipitation data for mammalian transcription factors.
PMID 17090591 · PMC1669715 · Nucleic acids research · 2006 · 7 claims · 8 setups
Current ChIP-chip and ChIP-PET technology is sufficient for unambiguous de novo identification of transcription factor binding motifs in mammalian genomes.
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Systems biology of gene regulation fulfills its promise.
PMID 16719937 · PMC1779525 · Genome biology · 2006 · 8 claims · 8 setups
Suz12, a Polycomb Group complex component, has DNA targets identifiable by ChIP-chip and can silence large genomic regions in a cell-type-specific manner.
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MPromDb: an integrated resource for annotation and visualization of mammalian gene promoters and ChIP-chip experimental data.
PMID 16381984 · PMC1347458 · Nucleic acids research · 2006 · 8 claims · 5 setups
MPromDb is a novel database integrating experimentally supported gene promoters, TSS annotation, cis-regulatory elements, CpG islands, and ChIP-chip data with an integrated visualization interface.
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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
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
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Has reproduction · 70
Predicting enhancers in mammalian genomes using supervised hidden Markov models.
PMID 30917778 · PMC6437899 · BMC bioinformatics · 2019 · 8 claims · 8 setups
eHMM predicts enhancers with high precision and recall comparable to state-of-the-art methods and consistently outperforms them in accuracy and resolution
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Toward stem cell systems biology: from molecules to networks and landscapes.
PMID 19329576 · PMC2738746 · Cold Spring Harbor symposia on quantitative biology · 2008 · 7 claims · 6 setups
Stem-cell-fate specification is an extremely complex process regulated by multiple mutually interacting molecular mechanisms with numerous regulatory feedback loops.