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 · 82
eVITTA: a web-based visualization and inference toolbox for transcriptome analysis.
PMID 34019643 · PMC8218201 · Nucleic acids research · 2021 · 8 claims · 7 setups
eVITTA is a web-based toolbox with three integrated modules (easyGEO, easyGSEA, easyVizR) for GEO data access, functional profiling, and multi-dataset comparison
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Full-text index only
GeneTrail--advanced gene set enrichment analysis.
PMID 17526521 · PMC1933132 · Nucleic acids research · 2007 · 8 claims · 2 setups
GeneTrail is a comprehensive, easy-to-use web-based tool for gene set enrichment analysis supporting both Over-Representation Analysis (ORA) and Gene Set Enrichment Analysis (GSEA)
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Has reproduction · 71
Newborn sex-specific transcriptome signatures and gestational exposure to fine particles: findings from the ENVIRONAGE birth cohort.
PMID 28583124 · PMC5458481 · Environmental health : a global access science source · 2017 · 7 claims · 6 setups
Gestational PM2.5 exposure is associated with sex-specific gene expression changes in newborn cord blood, with major differences between boys and girls.
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Full-text index only
BABELOMICS: a systems biology perspective in the functional annotation of genome-scale experiments.
PMID 16845052 · PMC1538844 · Nucleic acids research · 2006 · 8 claims · 8 setups
Babelomics is presented as an updated, complete suite of web tools for functional analysis of genome-scale experiments with new and improved modules
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Has reproduction
Using random walks to identify cancer-associated modules in expression data.
PMID 24128261 · PMC4015830 · BioData mining · 2013 · 8 claims · 8 setups
Walktrap-GM, a random-walk community detection algorithm adapted with stopping criteria (maximum modularity, maximum size, maximum module score), identifies modules significantly enriched with cancer genes in expression-weighted interaction networks.