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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Genetic diversity among five T4-like bacteriophages.
PMID 16716236 · PMC1524935 · Virology journal · 2006 · 8 claims · 8 setups
A core set of 82 conserved genes (T4-like genes) is present in all five genomes analyzed, clustered in large collinear blocks.
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Has reproduction · 67
Unraveling the timeline of gene expression: A pseudotemporal trajectory analysis of single-cell RNA sequencing data.
PMID 37994351 · PMC10663991 · F1000Research · 2023 · 7 claims · 7 setups
A reproducible R-based workflow combines Seurat (QC, clustering, integration), monocle3 (trajectory inference), and edgeR (pseudo-bulk time course analysis) to perform single-cell pseudotemporal time course analysis.
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A response to Yu et al. "A forward-backward fragment assembling algorithm for the identification of genomic amplification and deletion breakpoints using high-density single nucleotide polymorphism (SNP) array", BMC Bioinformatics 2007, 8: 145.
PMID 17939873 · PMC2222656 · BMC bioinformatics · 2007 · 8 claims · 4 setups
Yu et al.'s original comparison ran RJaCGH's MCMC sampler for a severely insufficient number of iterations (50 burn-in, 500 total)
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Paired-end mapping reveals extensive structural variation in the human genome.
PMID 17901297 · PMC2674581 · Science (New York, N.Y.) · 2007 · 8 claims · 8 setups
Paired-end mapping (PEM) combining 3-kb fragment paired-end capture, massive 454 sequencing, and computational mapping detects SVs ~3 kb or larger with an average breakpoint resolution of 644 bp
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Pol II promoter prediction using characteristic 4-mer motifs: a machine learning approach.
PMID 18834544 · PMC2575220 · BMC bioinformatics · 2008 · 8 claims · 8 setups
128 discriminating 4-mer motifs combined with an SVM (RBF kernel, LIBSVM) can distinguish promoter from non-promoter DNA sequences