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 · 62
Application of alternative de novo motif recognition models for analysis of structural heterogeneity of transcription factor binding sites: a case study of FOXA2 binding sites.
PMID 34547062 · PMC8408018 · Vavilovskii zhurnal genetiki i selektsii · 2021 · 8 claims · 4 setups
MultiDeNA pipeline combines PWM, diPWM, BaMM and InMoDe models to train, evaluate, threshold, and classify ChIP-seq peaks for TFBS structural heterogeneity
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Inter-individual variation of DNA methylation and its implications for large-scale epigenome mapping.
PMID 18413340 · PMC2425484 · Nucleic acids research · 2008 · 8 claims · 8 setups
CpG-rich regions (CpG islands) show low and similar methylation levels across individuals, but the sequential order of the few methylated CpGs among the many unmethylated ones varies randomly between individuals.
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Evolutionary trace annotation of protein function in the structural proteome.
PMID 20036248 · PMC2831211 · Journal of molecular biology · 2010 · 8 claims · 7 setups
ET-ranked residue clusters can be used to build 3D templates that predict GO function in enzymes and non-enzymes alike, without prior knowledge of functional mechanism.
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PRESTO: rapid calculation of order statistic distributions and multiple-testing adjusted P-values via permutation for one and two-stage genetic association studies.
PMID 18620604 · PMC2483288 · BMC bioinformatics · 2008 · 8 claims · 4 setups
PRESTO is an order of magnitude faster than other existing permutation testing software for genetic association studies.
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Mapping proteins to disease terminologies: from UniProt to MeSH.
PMID 18460185 · PMC2367626 · BMC bioinformatics · 2008 · 8 claims · 7 setups
Developed a three-step procedure (disease name extraction, exact matching, partial/similarity-based matching) to map UniProtKB/Swiss-Prot disease names to MeSH terms
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Has reproduction
Using random walks to identify cancer-associated modules in expression data.
PMID 24128261 · PMC4015830 · BioData mining · 2013 · 8 claims · 8 setups
Walktrap-GM, a random-walk community detection algorithm adapted with stopping criteria (maximum modularity, maximum size, maximum module score), identifies modules significantly enriched with cancer genes in expression-weighted interaction networks.