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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SnakeAltPromoter Facilitates Differential Alternative Promoter Analysis.
PMID 41993886 · PMC13082578 · Computational and structural biotechnology journal · 2026 · 6 claims · 6 setups
SnakeAltPromoter is the first unified, reproducible Snakemake workflow that automates alternative promoter analysis from raw RNA-seq data using 3 complementary methods (ProActiv, Salmon, DEXSeq)
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Resolving clonal evolution and selection of extrachromosomal DNA at single-cell resolution.
PMID 41606654 · PMC12853921 · Genome biology · 2026 · 7 claims · 8 setups
ecSingle, a computational method integrating allelic imbalance (BAF deviation) and outlier expression from scRNA-seq, can identify oncogene-carrying ecDNA at single-cell resolution.
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Gene expression profiling identifies potential biomarkers for vaso-occlusive episodes in sickle cell disease.
PMID 41797711 · PMC13041688 · JCI insight · 2026 · 8 claims · 5 setups
Pathways linked to complement activation, coagulation, and IL-6/JAK/STAT3 signaling are enriched during VOEs in CD45+ leukocytes
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Benchmarking RNA velocity methods across 17 independent studies.
PMID 41916302 · PMC13106975 · Cell reports methods · 2026 · 8 claims · 6 setups
No single RNA velocity method exhibited superior performance across all accuracy, stability, and usability assessments
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Whole-genome sequencing with AVITI and NovaSeq X Plus reveals comparable performance with contextual biases.
PMID 42206012 · PMC13202175 · NAR genomics and bioinformatics · 2026 · 8 claims · 7 setups
AVITI and NovaSeq X Plus are highly comparable overall for variant-calling performance in WGS
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Sensitive detection of somatic mutations in GC-rich cancer gene promoters.
PMID 42088607 · PMC13136893 · NAR cancer · 2026 · 8 claims · 8 setups
Gene promoters, due to high GC content (CpG islands, ~70% of promoters), are systematically undersampled and have poor coverage in whole cancer genomes, causing missed somatic mutation calls
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Deep-learning prediction of gene expression from personal genomes.
PMID 41495833 · PMC12869966 · Genome biology · 2026 · 8 claims · 8 setups
Fine-tuning Enformer on paired personal WGS and RNA-seq data (Variformer) corrects Enformer's failure to predict inter-individual gene expression differences across held-out people.