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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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.
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Has reproduction · 44
An OMICs-based meta-analysis to support infection state stratification.
PMID 33560295 · PMC8388022 · Bioinformatics (Oxford, England) · 2021 · 7 claims · 6 setups
Multi-class machine learning models built from cross-platform microarray meta-analysis can distinguish bacterial, viral and no-infection states with high accuracy (best model: 93% bacterial, 89% viral correct).
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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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Policy implications of genetic information on regulation under the Clean Air Act: the case of particulate matter and asthmatics.
PMID 16507451 · PMC1392222 · Environmental health perspectives · 2006 · 8 claims · 4 setups
The Clean Air Act mandates protection of sensitive subpopulations, including asthmatics, from air pollution health effects, creating an opening for genetic susceptibility data in regulation.
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Given the complexity of the human genome, can 'personalised medicine' or 'individualised drug therapy' ever be achieved?
PMID 19706359 · PMC3525196 · Human genomics · 2009 · 7 claims · 3 setups
The human genome is far too complex, given current understanding, for personalised medicine or individualised drug therapy to be realised in the near term
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Systems biology and the host response to viral infection.
PMID 18066032 · PMC7097743 · Nature biotechnology · 2007 · 8 claims · 8 setups
Systems biology integration of 'omics data (transcriptomics, proteomics, genomics) with computational modeling is needed to fully understand virus-host interactions and identify novel antiviral targets