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).

• Bias of selection on human copy-number variants.

  PMID 16482228 · PMC1366494 · PLoS genetics · 2006 · 8 claims · 8 setups

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  Human CNVs are significantly overrepresented near telomeres and centromeres and enriched in simple tandem repeats relative to the genome as a whole

  genome human-mouse cnv-encompassed inbred comparative randomization molecular

• ARED Organism: expansion of ARED reveals AU-rich element cluster variations between human and mouse.

  PMID 17984078 · PMC2238997 · Nucleic acids research · 2008 · 6 claims · 4 setups

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  ARED Organism and ARED-Integrated are new/updated public databases cataloguing ARE-containing mRNAs/genes in human, mouse and rat

  6x6 ortholog 3'utr comparative chi-squared

• Inference of transcriptional regulation using gene expression data from the bovine and human genomes.

  PMID 17683551 · PMC1978505 · BMC genomics · 2007 · 7 claims · 8 setups

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  Using human reference promoter sequences is a useful approach for studying gene expression regulation in species with limited or non-existing genomic sequence, such as cattle.

  muscle-specific bovine refseq cardiac novo est blastn

• Correlation of microsynteny conservation and disease gene distribution in mammalian genomes.

  PMID 19909546 · PMC2779822 · BMC genomics · 2009 · 7 claims · 8 setups

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  Density of mouse orthologs of human disease genes correlates with regions of conserved microsynteny in the mouse genome

  genes autosomes dog genome comparative blat sliding-window

• Prioritization of candidate cancer genes--an aid to oncogenomic studies.

  PMID 18710882 · PMC2566894 · Nucleic acids research · 2008 · 8 claims · 8 setups

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  Computational classifiers using combinations of protein conservation, gene structure, protein domains, protein interactions, and regulatory data can distinguish known cancer genes (CD/CR) from unlabelled human genes

  genes cancer interpro interactome averaged cross-validation domain