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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An integrated database-pipeline system for studying single nucleotide polymorphisms and diseases.
PMID 19091018 · PMC2638159 · BMC bioinformatics · 2008 · 6 claims · 5 setups
Existing SNP/disease databases are fragmented; no combined resource widely supports gene-, SNP-, and disease-related information together
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Profiling critical cancer gene mutations in clinical tumor samples.
PMID 19924296 · PMC2774511 · PloS one · 2009 · 7 claims · 4 setups
OncoMap, a panel of ~400 mass-spectrometric genotyping assays targeting 33 cancer genes, enables robust mutation profiling of clinical fresh-frozen and FFPE tumor DNA.
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Inherited disorder phenotypes: controlled annotation and statistical analysis for knowledge mining from gene lists.
PMID 16351744 · PMC1866390 · BMC bioinformatics · 2005 · 5 claims · 3 setups
OMIM Clinical Synopsis free-text phenotype and location names can be normalized and hierarchically structured into a controlled vocabulary suitable for computational analysis
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Of mice and men: comparative proteomics of bronchoalveolar fluid.
PMID 20032019 · PMC3049194 · The European respiratory journal · 2010 · 8 claims · 8 setups
Comparative shotgun proteomics of human and mouse BALF identifies conserved pathways (immunity, defence response, protease activity) alongside species-specific divergent pathways.
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Lineage specific recombination rates and microevolution in Listeria monocytogenes.
PMID 18842152 · PMC2576243 · BMC evolutionary biology · 2008 · 8 claims · 6 setups
Recombination is more prevalent in lineage II than in lineage I
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Relationships between emm and multilocus sequence types within a global collection of Streptococcus pyogenes.
PMID 18405369 · PMC2359762 · BMC microbiology · 2008 · 8 claims · 5 setups
emm type is often a poor marker for clonal genetic background across the global S. pyogenes collection
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Application of proteomics methods for pathogen discovery.
PMID 19751767 · PMC7119679 · Journal of virological methods · 2010 · 8 claims · 6 setups
Proteomic techniques can detect and characterize unknown infectious agents in cell culture without prior knowledge of the pathogen
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Has reproduction · 93
DNA binding analysis of rare variants in homeodomains reveals homeodomain specificity-determining residues.
PMID 38600112 · PMC11006913 · Nature communications · 2024 · 8 claims · 5 setups
Many of the 92 assayed HD missense variants alter DNA binding affinity and/or specificity compared to their corresponding reference alleles
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Has reproduction · 79
Species-Wide Phylogenomics of the Staphylococcus aureus Agr Operon Revealed Convergent Evolution of Frameshift Mutations.
PMID 35044202 · PMC8768832 · Microbiology spectrum · 2022 · 8 claims · 7 setups
AgrVATE, a novel kmer-based BLASTn and in silico PCR/Snippy pipeline, enables fast, standardized agr group typing and frameshift/null mutation detection from genome assemblies
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Has reproduction
Using random walks to identify cancer-associated modules in expression data.
PMID 24128261 · PMC4015830 · BioData mining · 2013 · 8 claims · 8 setups
Walktrap-GM, a random-walk community detection algorithm adapted with stopping criteria (maximum modularity, maximum size, maximum module score), identifies modules significantly enriched with cancer genes in expression-weighted interaction networks.
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Urinary proteomic profiling for diagnostic bladder cancer biomarkers.
PMID 19811072 · PMC3422861 · Expert review of proteomics · 2009 · 8 claims · 8 setups
Single protein biomarkers (e.g., NMP-22, BTA) suffer from high false-positive rates and none have replaced cystoscopy or cytology for bladder cancer detection.
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Diagnostic proteomics: serum proteomic patterns for the detection of early stage cancers.
PMID 15258335 · PMC3851082 · Disease markers · 2003 · 8 claims · 8 setups
Proteomic pattern analysis of serum mass spectra, without identifying the underlying proteins, can distinguish cancer patients from healthy controls with high sensitivity and specificity.