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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High-resolution aCGH and expression profiling identifies a novel genomic subtype of ER negative breast cancer.
PMID 17925008 · PMC2246289 · Genome biology · 2007 · 7 claims · 8 setups
A novel subtype of high-grade ER-negative breast cancer exists, characterized by a low genomic instability index (GII)
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Genome profiling of chronic myelomonocytic leukemia: frequent alterations of RAS and RUNX1 genes.
PMID 18925961 · PMC2588460 · BMC cancer · 2008 · 8 claims · 4 setups
aCGH profiling of CMML samples reveals three profile types: normal-like (two-thirds of cases), large chromosomal abnormalities, and focal single/few-gene gains or losses
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A statistical change point model approach for the detection of DNA copy number variations in array CGH data.
PMID 19875853 · PMC4154476 · IEEE/ACM transactions on computational biology and bioinformatics · 2009 · 7 claims · 4 setups
A novel mean and variance change point model (MVCM) is proposed to detect CNVs/breakpoints in aCGH data.
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Gene-resolution analysis of DNA copy number variation using oligonucleotide expression microarrays.
PMID 17470268 · PMC1868757 · BMC genomics · 2007 · 8 claims · 7 setups
graCNV uses re-annotated Affymetrix expression microarray probe sets and the WPP algorithm to measure DNA copy number variation at a median resolution of ~17,500 bp without genomic complexity reduction.
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SIGMA: a system for integrative genomic microarray analysis of cancer genomes.
PMID 17192189 · PMC1764892 · BMC genomics · 2006 · 7 claims · 6 setups
SIGMA is a user-friendly, web-based Java application for visualization and integrative analysis of array CGH data across multiple platforms.
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Copy number variants and common disorders: filling the gaps and exploring complexity in genome-wide association studies.
PMID 17953491 · PMC2039766 · PLoS genetics · 2007 · 8 claims · 5 setups
CNVs are not easily tagged by SNPs and often fall in genomic regions poorly covered by whole-genome SNP arrays or not genotyped by HapMap, so current GWASs have largely missed their contribution to complex disorders.
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Relative impact of nucleotide and copy number variation on gene expression phenotypes.
PMID 17289997 · PMC2665772 · Science (New York, N.Y.) · 2007 · 8 claims · 5 setups
SNPs and CNVs capture largely non-overlapping signals of genetic variation affecting gene expression