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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Systematic identification of pseudogenes through whole genome expression evidence profiling.
PMID 16945953 · PMC1636364 · Nucleic acids research · 2006 · 8 claims · 8 setups
Developed a novel bioinformatics method that identifies pseudogenes by profiling whole-genome transcript and protein expression evidence
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Pseudofam: the pseudogene families database.
PMID 18957444 · PMC2686518 · Nucleic acids research · 2009 · 8 claims · 7 setups
Pseudofam is an online database of pseudogene families built by mapping pseudogenes to Pfam protein families, providing query tools, statistics, and sequence alignments
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U7 snRNAs: a computational survey.
PMID 18267300 · PMC5054213 · Genomics, proteomics & bioinformatics · 2007 · 8 claims · 6 setups
A computational (BLAST-based) survey identified bona fide U7 snRNA genes with characteristic upstream promoter elements (PSE) across most vertebrate genomes examined, plus numerous pseudogenes.
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Expansion of the Bactericidal/Permeability Increasing-like (BPI-like) protein locus in cattle.
PMID 17362520 · PMC1839098 · BMC genomics · 2007 · 8 claims · 8 setups
The bovine BPI-like locus spans 470 kbp and contains 14 contiguous genes (13 intact + 1 pseudogene); 9 are orthologous to human/mouse BPI-like genes and 4 (named BSP30A, BSP30B, BSP30C, BSP30D) arose through cattle-specific duplication of the PSP gene
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The truth about mouse, human, worms and yeast.
PMID 15601543 · PMC3525071 · Human genomics · 2004 · 8 claims · 8 setups
Comparing genomes in pairs or larger sets (mouse-human, C. elegans-C. briggsae, multiple Saccharomyces, human-pufferfish, etc.) reveals unsuspected genes and helps eliminate false-positive gene predictions
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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.