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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Prioritization of candidate cancer genes--an aid to oncogenomic studies.
PMID 18710882 · PMC2566894 · Nucleic acids research · 2008 · 8 claims · 8 setups
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
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Ensembl 2005.
PMID 15608235 · PMC540092 · Nucleic acids research · 2005 · 8 claims · 4 setups
Ensembl's automatic gene build system can flexibly and reliably annotate a wide variety of genomes with limited species-specific evidence.
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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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Speeding disease gene discovery by sequence based candidate prioritization.
PMID 15766383 · PMC1274252 · BMC bioinformatics · 2005 · 7 claims · 8 setups
Disease genes (OMIM) differ significantly from non-disease genes in sequence-based features including gene/cDNA/protein size, exon number, homolog conservation, secretion signal, 3' UTR length, CpG islands, and distance to nearest gene.
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F-SNP: computationally predicted functional SNPs for disease association studies.
PMID 17986460 · PMC2238878 · Nucleic acids research · 2008 · 6 claims · 8 setups
F-SNP is a database integrating functional effect predictions for SNPs from 16 bioinformatics tools/databases across four categories: splicing, transcription, translation, and post-translation
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Integration of text- and data-mining using ontologies successfully selects disease gene candidates.
PMID 15767279 · PMC1065256 · Nucleic acids research · 2005 · 7 claims · 6 setups
Integrating eVOC anatomical ontology-based text-mining of PubMed abstracts with data-mining of gene expression annotation successfully selects and prioritizes candidate disease genes
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Human and mouse introns are linked to the same processes and functions through each genome's most frequent non-conserved motifs.
PMID 18450818 · PMC2425492 · Nucleic acids research · 2008 · 8 claims · 5 setups
Pyknons (recurrent, genome-specific, ≥16nt motifs with ≥30 intact intergenic/intronic copies and ≥1 exonic copy) span a substantial fraction of previously uncharacterized intronic space (7.4% human, 4.4% mouse)
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POCUS: mining genomic sequence annotation to predict disease genes.
PMID 14611661 · PMC329128 · Genome biology · 2003 · 8 claims · 6 setups
Genes predisposing to the same disease tend to share functional annotation IDs (GO/InterPro) more than expected by chance
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A genome-wide survey demonstrates widespread non-linear mRNA in expressed sequences from multiple species.
PMID 16237125 · PMC1258171 · Nucleic acids research · 2005 · 8 claims · 6 setups
A genome-wide computational survey identifies 245 genes in mammals (264 across six species) that produce RREO events in expressed sequences
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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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Evola: Ortholog database of all human genes in H-InvDB with manual curation of phylogenetic trees.
PMID 17982176 · PMC2238928 · Nucleic acids research · 2008 · 6 claims · 7 setups
Evola combines genome synteny-based computational ortholog detection with manual curation of phylogenetic trees by experts to yield more reliable orthologs than automated pairwise methods