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 · 59
Comparing time series transcriptome data between plants using a network module finding algorithm.
PMID 31164912 · PMC6544932 · Plant methods · 2019 · 8 claims · 6 setups
Converting gene expression patterns into co-expression networks and applying a cross-species network module finding algorithm (OrthoClust with simulated annealing) solves the problem of matching developmental stages between two species without requiring one-to-one stage mapping.
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A map of human protein interactions derived from co-expression of human mRNAs and their orthologs.
PMID 18414481 · PMC2387231 · Molecular systems biology · 2008 · 8 claims · 6 setups
Comparing human mRNA co-expression with co-expression of orthologous gene pairs in five other organisms identifies proteins that physically associate
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Meta-analysis of inter-species liver co-expression networks elucidates traits associated with common human diseases.
PMID 20019805 · PMC2787626 · PLoS computational biology · 2009 · 8 claims · 8 setups
A novel semi-parametric meta-analysis method (based on a gene-centric Glass's d effect size) outperforms existing parametric and non-parametric meta-analysis methods at identifying functionally coherent gene pairs across species.
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Has reproduction · 59
Comparison between short-term stress and long-term adaptive responses reveal common paths to molecular adaptation.
PMID 35243257 · PMC8873613 · iScience · 2022 · 8 claims · 7 setups
Short-term stress and long-term adaptations share common metabolic pathways
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Translating genome sequences into biological understanding.
PMID 12801409 · PMC193614 · Genome biology · 2003 · 8 claims · 7 setups
Gene-trap insertional mutagenesis in mouse ES cells (BayGenomics) generates a large resource of cell lines and knockout mice for studying gene expression patterns and function.