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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Using structural bioinformatics to investigate the impact of non synonymous SNPs and disease mutations: scope and limitations.
PMID 19758473 · PMC2745591 · BMC bioinformatics · 2009 · 8 claims · 8 setups
None of 39 tested structural properties can be used as a sole classification criterion to separate neutral SNPs from disease mutations.
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Ensembl's 10th year.
PMID 19906699 · PMC2808936 · Nucleic acids research · 2010 · 8 claims · 8 setups
Ensembl provides comprehensive gene annotation and integrated genomic resources (variation, regulation, comparative genomics) across a growing set of chordate genomes
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Inferring combinatorial regulation of transcription in silico.
PMID 15647509 · PMC546154 · Nucleic acids research · 2005 · 8 claims · 5 setups
Combining Cluster-Buster (TFBS cluster prediction) with GOSSIP (rigorous GO enrichment statistics with multiple-testing/FDR correction) predicts biological functions controlled by combinatorial transcription factor action, without prior knowledge of factor targets
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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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A re-annotation pipeline for Illumina BeadArrays: improving the interpretation of gene expression data.
PMID 19923232 · PMC2817484 · Nucleic acids research · 2010 · 8 claims · 7 setups
A Perl-based pipeline that BLASTs/BLATs Illumina probe sequences against genomes and transcript databases (RefSeq, UCSC Known Genes, UniGene/GenBank, Ensembl) can classify probes by quality grade (Perfect/Good/Bad/No match) and is applicable across 8 BeadArray platforms and other array types
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Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes.
PMID 16757574 · PMC1475747 · Nucleic acids research · 2006 · 6 claims · 8 setups
Applying seven independent computational disease-gene prioritization methods in concert to 9556 positional candidate genes identifies a prioritized set of likely T2D and obesity candidate genes