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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Array-based profiling of reference-independent methylation status (aPRIMES) identifies frequent promoter methylation and consecutive downregulation of ZIC2 in pediatric medulloblastoma.
PMID 17344319 · PMC1874664 · Nucleic acids research · 2007 · 7 claims · 7 setups
aPRIMES is a novel array-based method that detects direct (absolute) methylation status of CGIs via competitive hybridization of McrBC-digested (methylated) versus HpaII/BstUI-digested (unmethylated) DNA from the same genome, avoiding reference-tissue and copy-number biases
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Has reproduction · 20
Expression and Secretion of Circular RNAs in the Parasitic Nematode, Ascaris suum.
PMID 35711944 · PMC9194832 · Frontiers in genetics · 2022 · 8 claims · 7 setups
A. suum expresses 1,997 distinct circRNAs identified via next-generation sequencing in adult female body wall and ovary-enriched tissue
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MMASS: an optimized array-based method for assessing CpG island methylation.
PMID 17041235 · PMC1635254 · Nucleic acids research · 2006 · 8 claims · 7 setups
MMASS-v2 (optimized AciI/HinP1I/HpyCH4IV/HpaII enzyme combination with McrBC digestion) offers improved sensitivity and statistical power for microarray-based CpG island methylation detection compared to MMASS-v1, MMASS-sub and the Nouzova method
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IDEAL-Q, an automated tool for label-free quantitation analysis using an efficient peptide alignment approach and spectral data validation.
PMID 19752006 · PMC2808259 · Molecular & cellular proteomics : MCP · 2010 · 6 claims · 5 setups
IDEAL-Q predicts the elution time of peptides unidentified in a given LC-MS/MS run (but identified in others) using a computation-efficient linear regression plus fragmental refining function, avoiding costly whole-dataset pattern recognition