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 · 93
Under the Shadow: Old-biased Genes Are Subject to Weak Purifying Selection at Both the Tissue- and Cell Type-Specific Levels.
PMID 41092135 · PMC12569596 · Genome biology and evolution · 2025 · 7 claims · 6 setups
ADICT (age-related decrease in transcriptome conservation) is commonly found in ageing tissues of nonmammalian species, including chicken brain, killifish liver and skin, and fruit fly brain
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Has reproduction · 61
TEMP: a computational method for analyzing transposable element polymorphism in populations.
PMID 24753423 · PMC4066757 · Nucleic acids research · 2014 · 8 claims · 8 setups
TEMP combines pair-end (discordant) read and split (soft-clipped) read information to identify both presence and absence of TE insertions in genomic DNA from heterogeneous/pooled samples.
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Full-text index only
Translating genome sequences into biological understanding.
PMID 12801409 · PMC193614 · Genome biology · 2003 · 8 claims · 7 setups
Gene-trap insertional mutagenesis in mouse ES cells (BayGenomics) generates a large resource of cell lines and knockout mice for studying gene expression patterns and function.
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Full-text index only
Genomics--from Neanderthals to high-throughput sequencing.
PMID 16934106 · PMC1779599 · Genome biology · 2006 · 8 claims · 8 setups
Next-generation sequencing platforms (GS20/454 and Solexa) can deliver the throughput and cost reductions needed for population-scale and medical resequencing.
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Has reproduction · 51
SGCP: a spectral self-learning method for clustering genes in co-expression networks.
PMID 38956463 · PMC11221046 · BMC bioinformatics · 2024 · 7 claims · 4 setups
SGCP, a spectral self-learning method, yields gene co-expression modules with higher GO enrichment than WGCNA, CoExpNets, and CEMiTool across 12 real gene expression datasets.