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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Designating eukaryotic orthology via processed transcription units.
PMID 18445630 · PMC2425467 · Nucleic acids research · 2008 · 8 claims · 5 setups
Existing ortholog databases discard/ignore alternative splicing via all-against-all protein comparisons, causing ambiguous ortholog calls and misclassification of AS isoforms as in-paralogs
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Emerging genomic and proteomic evidence on relationships among the animal, plant and fungal kingdoms.
PMID 15629046 · PMC5172449 · Genomics, proteomics & bioinformatics · 2004 · 8 claims · 7 setups
Sequence-based molecular phylogenies widely support a sister relationship between animals and fungi, grouped as the Opisthokonta
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Computational verification of protein-protein interactions by orthologous co-expression.
PMID 15740634 · PMC555590 · BMC bioinformatics · 2005 · 7 claims · 8 setups
Co-expression of orthologous protein pairs across multiple species can verify/predict S. cerevisiae PPIs with better performance than S. cerevisiae co-expression alone.
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Human synthetic lethal inference as potential anti-cancer target gene detection.
PMID 20015360 · PMC2804737 · BMC systems biology · 2009 · 7 claims · 8 setups
Targeting the synthetic lethal partner of a gene mutated in cancer selectively damages tumor cells while sparing healthy cells, offering a rationale for anti-cancer drug design
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Has reproduction · 69
A comparison across non-model animals suggests an optimal sequencing depth for de novo transcriptome assembly.
PMID 23496952 · PMC3655071 · BMC genomics · 2013 · 8 claims · 8 setups
Representative de novo transcriptome assemblies are generated with as few as ~20 million reads for single-tissue samples and ~30 million reads for whole animals at the mRNA-coverage level.