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).

• Identification and analysis of co-occurrence networks with NetCutter.

  PMID 18781200 · PMC2526157 · PloS one · 2008 · 8 claims · 4 setups

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  Random sampling from a complete permutation set of the bipartite graph permits co-occurrence analysis with optimal stringency, and the edge-swapping (ES) model closely approximates this and is the preferred null-model among six tested.

  publime bipartite randomized co-occurrence null-model signal-to-noise

• Randomised trial of a decision aid and its timing for women being tested for a BRCA1/2 mutation.

  PMID 14735173 · PMC2410151 · British journal of cancer · 2004 · 6 claims · 3 setups

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  The DA had no impact on well-being (anxiety, depression, cancer-related distress, general health)

  women brca1 same randomised comparative validated

• CancerGenes: a gene selection resource for cancer genome projects.

  PMID 17088289 · PMC1781153 · Nucleic acids research · 2007 · 6 claims · 4 setups

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  CancerGenes is a gene list-centric web resource that combines expert-annotated gene lists with data from public databases (Entrez Gene, Ensembl BioMart, Kim et al. promoter data, Sanger COSMIC) to support gene selection for cancer re-sequencing projects.

  genes chip-on-chip literature entrez

• Mining expressed sequence tags identifies cancer markers of clinical interest.

  PMID 17078886 · PMC1635568 · BMC bioinformatics · 2006 · 8 claims · 6 setups

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  An EST-mining approach (Fisher Exact Test on tumor vs. non-tumor library hit counts) identifies differentially expressed transcripts with an estimated false discovery rate below 22% when human and mouse screens are combined.

  dbest cancer gene est human-mouse leave-one-out

• 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

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  A novel subtype of high-grade ER-negative breast cancer exists, characterized by a low genomic instability index (GII)

  breast computational array-cgh gene bac

• Human synthetic lethal inference as potential anti-cancer target gene detection.

  PMID 20015360 · PMC2804737 · BMC systems biology · 2009 · 7 claims · 8 setups

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  Targeting the synthetic lethal partner of a gene mutated in cancer selectively damages tumor cells while sparing healthy cells, offering a rationale for anti-cancer drug design

  saccharomyces sapiens ihsln genes database phylogenetic gene

• Targeted next-generation sequencing of a cancer transcriptome enhances detection of sequence variants and novel fusion transcripts.

  PMID 19835606 · PMC2784330 · Genome biology · 2009 · 7 claims · 2 setups

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  Hybrid selection of cDNA dramatically increases the specificity of sequencing reads mapping to targeted cancer-related transcripts.

  k-562 targeted sanger

• TRED: a transcriptional regulatory element database, new entries and other development.

  PMID 17202159 · PMC1899102 · Nucleic acids research · 2007 · 8 claims · 3 setups

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  TRED collects mammalian cis- and trans-regulatory elements together with experimental evidence, mapped onto assembled genomes

  cancer-related computational literature database

• Network-assisted protein identification and data interpretation in shotgun proteomics.

  PMID 19690572 · PMC2736651 · Molecular systems biology · 2009 · 7 claims · 7 setups

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  Confidently identified proteins in a sample form tightly connected sub-networks in the protein interaction network, with significantly higher clustering coefficients than random or topology-matched random sub-networks.

  yeast organs mammary organ shotgun clique-enrichment microarray

• Crunching the bio-numbers.

  PMID 14664241 · PMC1316909 · Environmental health perspectives · 2003 · 8 claims · 6 setups

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  The eTag Assay System rapidly identifies genes and related proteins without complex sample preparation or follow-up bioinformatics, unlike microarrays

  blood model brain lung etag sirna addl