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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Has reproduction · 82
Ultra-deep multi-oncopanel sequencing of benchmarking samples with a wide range of variant allele frequencies.
PMID 35680918 · PMC9184574 · Scientific data · 2022 · 8 claims · 8 setups
Four reference samples (Sample A, Sample B, Sample C, Sample Spike-in/AC5) were developed with large numbers of high-confidence positive and negative small variant positions to serve as known content for oncopanel performance assessment.
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ATBF1 and NQO1 as candidate targets for allelic loss at chromosome arm 16q in breast cancer: absence of somatic ATBF1 mutations and no role for the C609T NQO1 polymorphism.
PMID 18416817 · PMC2377272 · BMC cancer · 2008 · 8 claims · 7 setups
Five genes (NQO1, ATBF1, DBNDD1, HSBP1, CGI-38) at 16q show significantly lower mRNA expression in breast tumors with LOH at 16q compared to tumors without LOH
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Genomic and proteomic approaches for studying human cancer: prospects for true patient-tailored therapy.
PMID 15601541 · PMC3525069 · Human genomics · 2004 · 8 claims · 6 setups
DNA microarray gene expression profiling generates robust molecular classifications for many tumour types (brain, breast, colon, gastric, kidney, leukaemia, lymphoma, lung, melanoma, ovary, prostate, etc.)
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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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Has reproduction · 73
Vespucci: a system for building annotated databases of nascent transcripts.
PMID 24304890 · PMC3936758 · Nucleic acids research · 2014 · 8 claims · 7 setups
Existing ChIP-seq and RNA-seq analysis platforms (e.g. Cufflinks, peak callers) are unsuited to GRO-seq because they assume spliced/exonic reads, uniform density and paired-end data, and cannot identify transcriptional units de novo across the whole genome.