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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Towards alignment independent quantitative assessment of homology detection.
PMID 17205117 · PMC1762415 · PloS one · 2006 · 8 claims · 6 setups
The Fhom Estimator uses the prevalence of a conserved protein feature (X) in two protein sets to estimate the fraction of true homologs among paired proteins, independent of alignment quality.
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Complex landscapes of somatic rearrangement in human breast cancer genomes.
PMID 20033038 · PMC3398135 · Nature · 2009 · 8 claims · 6 setups
There are more somatic rearrangements in some breast cancers than previously appreciated by cytogenetic methods.
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Evaluation of multiple displacement amplification in a 5 cM STR genome-wide scan.
PMID 16055919 · PMC1182175 · Nucleic acids research · 2005 · 7 claims · 5 setups
MDA genotyping call rates and accuracy are only marginally lower than for genomic DNA
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Highly cost-efficient genome-wide association studies using DNA pools and dense SNP arrays.
PMID 18276640 · PMC2346606 · Nucleic acids research · 2008 · 8 claims · 5 setups
Illumina HumanHap300 arrays are substantially more efficient than Affymetrix Genechip HindIII arrays for DNA-pooling based GWAS
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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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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