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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Has reproduction · 75
An informatics research platform to make public gene expression time-course datasets reusable for more scientific discoveries.
PMID 33247935 · PMC7698665 · Database : the journal of biological databases and curation · 2020 · 8 claims · 6 setups
GETc enables discovery and visualization of time-course gene expression data and analytical results from GEO
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Has reproduction · 59
Integrative network modeling reveals mechanisms underlying T cell exhaustion.
PMID 32024856 · PMC7002445 · Scientific reports · 2020 · 8 claims · 7 setups
TCE arises from changes in diverse gene regulatory interactions across a shared network rather than dysregulation of a single gene
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Genomics, molecular imaging, bioinformatics, and bio-nano-info integration are synergistic components of translational medicine and personalized healthcare research.
PMID 18831773 · PMC3226104 · BMC genomics · 2008 · 8 claims · 8 setups
Genomics, molecular imaging, bioinformatics, and bio-nano-info integration are synergistic components of translational medicine and personalized healthcare
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Has reproduction · 53
spliceJAC: transition genes and state-specific gene regulation from single-cell transcriptome data.
PMID 36321549 · PMC9627675 · Molecular systems biology · 2022 · 8 claims · 8 setups
spliceJAC uses unspliced and spliced mRNA count matrices to construct cell state-specific gene-gene regulatory interaction (Jacobian) matrices from scRNA-seq data
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Reconstructing transcriptional regulatory networks through genomics data.
PMID 20048387 · PMC3666560 · Statistical methods in medical research · 2009 · 7 claims · 5 setups
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.