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).

• Harvesting more reads from single-cell combinatorial barcoding data with scarecrow.

  PMID 41967853 · PMC13125751 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 3 setups

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  scarecrow screens a subsample of reads to generate position-specific barcode profiles, then flexibly identifies barcode sequences in reads while accounting for positional jitter

  pbmc scrna-seq single-cell

• AICellType: a large language model-based platform for accurate cell type annotation.

  PMID 42001469 · PMC13092268 · Briefings in bioinformatics · 2026 · 8 claims · 8 setups

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  Claude 3.5 Sonnet achieved the best overall performance among 79 benchmarked LLMs for cell type annotation, balancing accuracy, robustness, speed, and cost-efficiency

  single-cell immune pbmc in-house llm-based scrna-seq spatial

• 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

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  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

  pediatric tumor eight desmoplastic aprimes bisulfite quantitative