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).

• Clustering of phosphorylation site recognition motifs can be exploited to predict the targets of cyclin-dependent kinase.

  PMID 17316440 · PMC1852407 · Genome biology · 2007 · 8 claims · 6 setups

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  CDK consensus motifs are frequently clustered (closely spaced) in known CDK substrate proteins rather than uniformly distributed

  cerevisiae cycle reanalysis statistical optimal

• iMapper: a web application for the automated analysis and mapping of insertional mutagenesis sequence data against Ensembl genomes.

  PMID 18974167 · PMC2639305 · Bioinformatics (Oxford, England) · 2008 · 6 claims · 3 setups

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  iMapper is a web application for automated analysis and mapping of insertional mutagenesis sequence data against vertebrate and invertebrate Ensembl genomes (human, mouse, rat, zebrafish, Drosophila, S. cerevisiae).

  piggybac splinkerette-pcr-derived sequence splinkerette genome throughput

• Optimality driven nearest centroid classification from genomic data.

  PMID 17912341 · PMC1991588 · PloS one · 2007 · 7 claims · 5 setups

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  A theoretical result determines the subset of features of a given size that minimizes the misclassification rate for a nearest-centroid (LDA) classifier, based on equation (4).

  artificial simulated previously-published simulated simulation clinical

• Protein length in eukaryotic and prokaryotic proteomes.

  PMID 15951512 · PMC1150220 · Nucleic acids research · 2005 · 7 claims · 5 setups

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  Eukaryotic proteins are significantly longer than prokaryotic proteins across virtually all functional categories and the majority of protein families

  eukaryotic proteins genomic cog comparative orthology domain

• Integration of text- and data-mining using ontologies successfully selects disease gene candidates.

  PMID 15767279 · PMC1065256 · Nucleic acids research · 2005 · 7 claims · 6 setups

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  Integrating eVOC anatomical ontology-based text-mining of PubMed abstracts with data-mining of gene expression annotation successfully selects and prioritizes candidate disease genes

  biomedical refseq training independent text-mining data-mining candidate

• Environmental Drivers of Genetic Divergence in Two Corals From the Florida Keys.

  PMID 40589611 · PMC12206660 · Evolutionary applications · 2025 · 8 claims · 8 setups

  Has reproduction · 64

  Temperature was not the most important driver of coral genetic divergence in the Florida Keys; depth and water chemistry were more important

  agaricia agaricites coral sites 2brad population hierarchical