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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6th annual meeting of the Complex Trait Consortium.
PMID 17906895 · PMC2042027 · Mammalian genome : official journal of the International Mammalian Genome Society · 2007 · 8 claims · 7 setups
The NIEHS Perlegen/resequencing project has generated over 8.5 million SNPs from 15 inbred mouse strains but shows a high false-negative discovery rate, with an estimated 45 million SNPs actually present.
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Assessment of algorithms for high throughput detection of genomic copy number variation in oligonucleotide microarray data.
PMID 17910767 · PMC2148068 · BMC bioinformatics · 2007 · 8 claims · 4 setups
Different CNV analysis software packages produce highly variable numbers and types of candidate CNVs from the same data
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Calibrating the performance of SNP arrays for whole-genome association studies.
PMID 18584036 · PMC2432039 · PLoS genetics · 2008 · 8 claims · 7 setups
Previous SNP array genetic coverage estimates are inflated due to SNP overfitting and sample overfitting, since they were evaluated on the same HapMap SNPs/individuals used to design the arrays.
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Has reproduction · 44
An OMICs-based meta-analysis to support infection state stratification.
PMID 33560295 · PMC8388022 · Bioinformatics (Oxford, England) · 2021 · 7 claims · 6 setups
Multi-class machine learning models built from cross-platform microarray meta-analysis can distinguish bacterial, viral and no-infection states with high accuracy (best model: 93% bacterial, 89% viral correct).
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Variation resources at UC Santa Cruz.
PMID 17151077 · PMC1781230 · Nucleic acids research · 2007 · 8 claims · 8 setups
The UCSC Genome Browser variation resources integrate polymorphism data from public collections (dbSNP, HapMap, Affymetrix, Perlegen, SeattleSNPs) into a common format with additional annotations and genomic context.