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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Design and analysis issues in genome-wide somatic mutation studies of cancer.
PMID 18692126 · PMC2820387 · Genomics · 2009 · 6 claims · 4 setups
Two-stage (discovery + validation) sequencing designs efficiently allocate resources and can produce highly informative candidate driver gene lists even with relatively small sample sizes.
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CanPredict: a computational tool for predicting cancer-associated missense mutations.
PMID 17537827 · PMC1933186 · Nucleic acids research · 2007 · 8 claims · 7 setups
CanPredict is a web application providing public access to a random forest classifier that combines SIFT, LogR.E-value, and GOSS scores to predict whether a missense mutation is cancer-associated
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Has reproduction · 78
Enhancing chemotherapy response prediction via matched colorectal tumor-organoid gene expression analysis and network-based biomarker selection.
PMID 39754813 · PMC11754497 · Translational oncology · 2025 · 6 claims · 8 setups
A consensus WGCNA approach combining matched tumor-organoid and independent organoid drug-response expression data identifies gene modules and hub genes predictive of 5-FU chemotherapy response
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Cohesin regulates alternative splicing.
PMID 36857449 · PMC9977177 · Science advances · 2023 · 7 claims · 8 setups
Cohesin regulates alternative splicing independently of its effects on transcription.
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Proteomic approaches to cancer biomarkers.
PMID 19931265 · PMC2873613 · Gastroenterology · 2010 · 8 claims · 8 setups
Combining abundant-protein depletion, offline fractionation, and subproteome (e.g., glycoproteome) enrichment with 2D LC-MS/MS increases the dynamic range and depth of blood proteome analysis for biomarker discovery.
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Has reproduction · 53
Molecular Biomarker of Drug Resistance Developed From Patient-Derived Organoids Predicts Survival of Colorectal Cancer Patients.
PMID 35425715 · PMC9004628 · Frontiers in oncology · 2022 · 8 claims · 7 setups
Patient-derived colorectal cancer organoids (CRCOs) can be established from surgical CRC tissue with an 82% success rate (41/50)
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The detection of K-ras mutations in colorectal cancer using the amplification-refractory mutation system.
PMID 9579832 · PMC2150152 · British journal of cancer · 1998 · 5 claims · 6 setups
ARMS reliably detects K-ras codon 12/13 mutations in archival CRC DNA samples even when mutant sequence is under-represented relative to wild-type
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Has reproduction · 95
OptiType: precision HLA typing from next-generation sequencing data.
PMID 25143287 · PMC4441069 · Bioinformatics (Oxford, England) · 2014 · 8 claims · 8 setups
OptiType, an ILP-based HLA genotyping algorithm, produces accurate four-digit HLA-I predictions from NGS data not enriched for the HLA cluster.
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Association between cigarette smoking, APC mutations and the risk of developing sporadic colorectal adenomas and carcinomas.
PMID 16545110 · PMC1475604 · BMC cancer · 2006 · 8 claims · 4 setups
Smoking is associated with adenoma and CRC development, with the association strongest in tumors lacking APC truncation mutations
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Multiplex sequencing of paired-end ditags (MS-PET): a strategy for the ultra-high-throughput analysis of transcriptomes and genomes.
PMID 16840528 · PMC1524903 · Nucleic acids research · 2006 · 7 claims · 5 setups
MS-PET, which dimerizes PETs prior to 454 multiplex sequencing, achieves an approximate 100-fold efficiency increase over standard Sanger-based PET analysis
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Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations.
PMID 19654296 · PMC2763410 · Cancer research · 2009 · 7 claims · 7 setups
CHASM, a Random Forest-based computational method, was developed to identify and prioritize missense mutations likely to be functional drivers of tumor cell proliferation.
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Has reproduction · 100
Smart spatial omics (S2-omics) optimizes region of interest selection to capture molecular heterogeneity in diverse tissues.
PMID 41298871 · PMC12662399 · Nature cell biology · 2025 · 7 claims · 6 setups
S2-omics is an end-to-end workflow that automatically selects ROIs from H&E histology images to maximize molecular information content for spatial omics profiling.
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The current state of proteomics in GI oncology.
PMID 19104933 · PMC3045515 · Digestive diseases and sciences · 2009 · 8 claims · 8 setups
More than 130 exploratory proteomic studies have defined candidate biomarkers in serum, GI fluids, or cancer tissue for GI oncology
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Has reproduction · 68
Systematic identification of ACE2 expression modulators reveals cardiomyopathy as a risk factor for mortality in COVID-19 patients.
PMID 35012625 · PMC8743438 · Genome biology · 2022 · 7 claims · 8 setups
GENEVA is a semi-automated, study-design-agnostic framework that mines large-scale public RNA-seq data to identify conditions modulating a gene of interest's expression
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Genome-scale approaches to the epigenetics of common human disease.
PMID 19844740 · PMC3107986 · Virchows Archiv : an international journal of pathology · 2010 · 7 claims · 8 setups
DNA methylation is a stable, mitotically heritable epigenetic mark faithfully propagated by DNMT1 acting on hemimethylated DNA during replication
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Has reproduction · 87
Analysis of Tumor-Infiltrating T-Cell Transcriptomes Reveal a Unique Genetic Signature across Different Types of Cancer.
PMID 36232369 · PMC9569723 · International journal of molecular sciences · 2022 · 8 claims · 8 setups
Common genes shared across five cancer types differ from those found in nonmalignant tissue-resident T-cells for each subset (CD4-T, CD8-T, Treg)
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Expression genomics in breast cancer research: microarrays at the crossroads of biology and medicine.
PMID 17397520 · PMC1868923 · Breast cancer research : BCR · 2007 · 8 claims · 8 setups
Genome-wide expression microarray studies reveal transcriptional networks/signatures that explain breast cancer biological and clinical heterogeneity