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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FracFixR: a compositional statistical framework for absolute proportion estimation between fractions in RNA sequencing data.
PMID 41264734 · PMC12866640 · Bioinformatics (Oxford, England) · 2026 · 7 claims · 5 setups
FracFixR reconstructs original fraction proportions by modeling the compositional relationship between whole and fractionated RNA samples using non-negative least squares (NNLS) regression on selected transcripts
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StrainMake: reproducible hybrid metagenomics with MAG recovery and strain-level resolution.
PMID 42097292 · PMC13188985 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 5 setups
StrainMake is a Snakemake-based, Conda-managed workflow for de novo metagenomic analysis from short, long, or hybrid sequencing data.
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The genome sequence of the gastric gland parasite, Cryptosporidium proliferans.
PMID 42063550 · PMC13125899 · iScience · 2026 · 8 claims · 8 setups
Sequenced the C. proliferans genome using short- and long-read technology, producing the most complete gastric Cryptosporidium assembly to date
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Transcriptome- and phenotype-based epistasis analysis in Caenorhabditis elegans reveals daf-16/FoxO-dependent and independent effects of daf-2/InsR in L1 starvation and recovery.
PMID 41528819 · PMC12958807 · G3 (Bethesda, Md.) · 2026 · 7 claims · 8 setups
Differential gene expression caused by disruption of daf-2/InsR during L1 starvation is daf-16-dependent.
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Cell neighborhood topology directs rare cell population identification.
PMID 41912521 · PMC13199379 · Nature communications · 2026 · 8 claims · 8 setups
RareQ is a framework that quantifies neighborhood connectivity (Q), a cell-specific measure of kNN-graph cliquishness, to detect rare cell populations from single-cell and spatial omics data