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 · 60
A comparative analysis of blastoid models through single-cell transcriptomics.
PMID 39524369 · PMC11543915 · iScience · 2024 · 8 claims · 7 setups
EPSC-derived blastoids are transcriptomically distinct from nPSC-derived blastoids, with nPSC-blastoids clustering closer to natural blastocysts.
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A new chromosome-level genome assembly for western painted turtle Chrysemys picta bellii, a model for extreme physiological adaptations.
PMID 41792601 · PMC13077969 · BMC genomics · 2026 · 6 claims · 8 setups
A new haplotype-resolved, chromosome-level reference genome assembly (SLU_Cpb5.0) was generated for C. picta bellii using combined PacBio HiFi, 10x Genomics Chromium, Hi-C, and Bionano optical mapping data from a single individual.
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Has reproduction · 68
Cell-type annotation with accurate unseen cell-type identification using multiple references.
PMID 37379341 · PMC10335708 · PLoS computational biology · 2023 · 8 claims · 4 setups
mtANN integrates multiple reference datasets and eight gene selection methods via ensemble learning (multiple deep classification models + majority voting) to improve cell-type annotation accuracy
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GeneExt: a gene model extension tool for enhanced single-cell RNA-seq analysis.
PMID 41769841 · PMC12970594 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups
Incomplete/inaccurate gene annotations, especially missing or truncated 3' UTRs, cause reads to map to non-genic regions and genes to be under-quantified or missing from scRNA-seq expression matrices in non-model species
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Ultra-precision deconvolution of spatial transcriptomics decodes immune heterogeneity and fate-defining programs in tissues.
PMID 41862467 · PMC13168514 · Nature communications · 2026 · 8 claims · 8 setups
UCASpatial is a novel deconvolution algorithm that uses Shannon entropy-based gene weighting combined with weighted non-negative least squares to estimate cell-type composition from spatial transcriptomics data