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 · 83
A temporal classifier predicts histopathology state and parses acute-chronic phasing in inflammatory bowel disease patients.
PMID 36694043 · PMC9873918 · Communications biology · 2023 · 8 claims · 7 setups
The DSS phenotype-by-time interaction defines parsimonious temporal (dynamic) expression and splicing signatures of acute and chronic colitis distinct from time-specific differential expression.
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Speeding disease gene discovery by sequence based candidate prioritization.
PMID 15766383 · PMC1274252 · BMC bioinformatics · 2005 · 7 claims · 8 setups
Disease genes (OMIM) differ significantly from non-disease genes in sequence-based features including gene/cDNA/protein size, exon number, homolog conservation, secretion signal, 3' UTR length, CpG islands, and distance to nearest gene.
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Systematic analysis of human kinase genes: a large number of genes and alternative splicing events result in functional and structural diversity.
PMID 16351747 · PMC1866387 · BMC bioinformatics · 2005 · 8 claims · 7 setups
Systematic in silico search identified 5 novel human kinase genes (on chromosomes 1, 11, 13, 15, 16) and 1 pseudogene (chromosome X) absent from KinBase
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Has reproduction · 44
Population differentiation and epidemic tracking of Bursaphelenchus xylophilus in China based on chromosome-level assembly and whole-genome sequencing data.
PMID 34839581 · PMC9300093 · Pest management science · 2022 · 6 claims · 8 setups
Generated the first chromosome-level genome assembly (AH1) of B. xylophilus using PacBio, Illumina, BioNano, and Hi-C data
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Discovering cancer genes by integrating network and functional properties.
PMID 19765316 · PMC2758898 · BMC medical genomics · 2009 · 8 claims · 6 setups
Cancer genes have distinct PPI network topology (higher connectivity, higher clustering coefficient, shorter path length to known cancer genes) compared to non-cancer genes