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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CGMIM: automated text-mining of Online Mendelian Inheritance in Man (OMIM) to identify genetically-associated cancers and candidate genes.
PMID 15796777 · PMC1274267 · BMC bioinformatics · 2005 · 8 claims · 2 setups
CGMIM is a Perl program that text-mines OMIM entries to identify cancer-gene associations and genetically-related cancer type pairs.
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Evaluation of genome-wide chromatin library of Stat5 binding sites in human breast cancer.
PMID 15686596 · PMC549029 · Molecular cancer · 2005 · 8 claims · 5 setups
A chromatin library coupled with experimental validation can productively identify novel in vivo Stat5 chromatin binding sites in cancer, including abnormal regulatory sites in tumor-specific neochromatin.
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A common missense variant in BRCA2 predisposes to early onset breast cancer.
PMID 16280055 · PMC1410744 · Breast cancer research : BCR · 2005 · 7 claims · 4 setups
BRCA2 C5972T homozygosity (TT genotype) is rare but confers a roughly five-fold increased risk of breast cancer.
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Has reproduction · 42
CanCellCap: robust cancer cell capture across tissue types on single-cell RNA-seq data by multi-domain learning.
PMID 40739511 · PMC12312500 · BMC biology · 2025 · 8 claims · 7 setups
CanCellCap identifies cancer cells in scRNA-seq data across 13 tissue types, 23 cancer types, and 7 sequencing platforms with 0.977 average accuracy
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Analysis of cancer risk and BRCA1 and BRCA2 mutation prevalence in the kConFab familial breast cancer resource.
PMID 16507150 · PMC1413975 · Breast cancer research : BCR · 2006 · 6 claims · 7 setups
kConFab is a collaborative resource providing epidemiological, clinical, and biospecimen data from high-risk familial breast/ovarian cancer families, available to researchers worldwide for ethically approved, peer-reviewed projects.
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Interactome-transcriptome analysis reveals the high centrality of genes differentially expressed in lung cancer tissues.
PMID 16188928 · PMC4631381 · Bioinformatics (Oxford, England) · 2005 · 7 claims · 4 setups
Genes upregulated in squamous cell lung cancer are highly connected (well-connected) nodes in the protein interactome
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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
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Has reproduction · 87
Genetic demultiplexing of pooled single-cell RNA-sequencing samples in cancer facilitates effective experimental design.
PMID 34553212 · PMC8458035 · GigaScience · 2021 · 8 claims · 7 setups
Genetic variation–based demultiplexing tools can be effectively deployed on cancer scRNA-seq tissue using a pooled experimental design, achieving high recall at acceptable precision-recall tradeoffs in both high-CNV (HGSOC) and high-SNV (lung adenocarcinoma) cancers, even with extremely high doublet proportions.
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Multiplex amplification of all coding sequences within 10 cancer genes by Gene-Collector.
PMID 17317684 · PMC1874629 · Nucleic acids research · 2007 · 7 claims · 7 setups
Gene-Collector is a method for multiplex nucleic acid amplification that specifically circularizes only correctly paired (cognate) PCR primer products on a Collector probe, degrading non-cognate artifacts by exonuclease treatment.
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Has reproduction · 65
FusionQ: a novel approach for gene fusion detection and quantification from paired-end RNA-Seq.
PMID 23768108 · PMC3691734 · BMC bioinformatics · 2013 · 8 claims · 8 setups
FusionQ is a novel tool that detects gene fusions, constructs chimerical transcript structures, and estimates their abundances from paired-end RNA-Seq data.