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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Population genomics of human gene expression.
PMID 17873874 · PMC2683249 · Nature genetics · 2007 · 8 claims · 8 setups
Gene expression levels in lymphoblastoid cell lines are a heritable trait
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Has reproduction · 100
Exploring Gene Expression Patterns in Alzheimer's Disease Using a Human Microarray Data Meta-Analysis.
PMID 41744654 · PMC12938635 · Biology · 2026 · 6 claims · 7 setups
AD brains show a distinct transcriptomic profile with up-regulation of immune/inflammation genes and down-regulation of synapse/neuronal-signaling genes
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Transcriptomics and adaptive genomics of the asymptomatic bacteriuria Escherichia coli strain 83972.
PMID 18317809 · PMC2329726 · Molecular genetics and genomics : MGG · 2008 · 8 claims · 7 setups
Strain 83972 is best described as a 'deconstructed pathogen' rather than a true commensal that acquired fitness properties
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Extending Asia Pacific bioinformatics into new realms in the "-omics" era.
PMID 19958472 · PMC2788361 · BMC genomics · 2009 · 8 claims · 6 setups
88 full paper submissions were peer-reviewed for InCoB2009, with 49 shortlisted for oral presentation and 34 accepted into this BMC Genomics supplement, reflecting an overall acceptance rate of 50% across venues.
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Has reproduction · 89
MirDIP 5.2: tissue context annotation and novel microRNA curation.
PMID 36453996 · PMC9825511 · Nucleic acids research · 2023 · 7 claims · 6 setups
mirDIP 5.2 removed eight outdated resources, added miRNATIP, and ran five prediction algorithms against miRBase and mirGeneDB miRNAs to expand and improve interaction coverage
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Has reproduction · 67
Optimal scaling of digital transcriptomes.
PMID 24223126 · PMC3819321 · PloS one · 2013 · 8 claims · 8 setups
Fifteen existing and novel transcript-count normalization algorithms can be compared with two novel, mutually independent metrics: the number of "uniform" genes (sufficiently low coefficient of variation after normalization) and low average Spearman correlation between normalized expression profiles of gene pairs.