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
Macrel: antimicrobial peptide screening in genomes and metagenomes.
PMID 33384902 · PMC7751412 · PeerJ · 2020 · 8 claims · 8 setups
Macrel is an end-to-end pipeline that predicts high-quality AMP candidates from peptides, contigs, or reads of (meta)genomes
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Full-text index only
nsSNPAnalyzer: identifying disease-associated nonsynonymous single nucleotide polymorphisms.
PMID 15980516 · PMC1160133 · Nucleic acids research · 2005 · 6 claims · 4 setups
nsSNPAnalyzer is a web server that predicts whether a query nsSNP is disease-associated or functionally neutral using a Random Forest classifier combining structural and evolutionary information
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Full-text index only
Towards alignment independent quantitative assessment of homology detection.
PMID 17205117 · PMC1762415 · PloS one · 2006 · 8 claims · 6 setups
The Fhom Estimator uses the prevalence of a conserved protein feature (X) in two protein sets to estimate the fraction of true homologs among paired proteins, independent of alignment quality.
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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.
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Full-text index only
The DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene lists.
PMID 17784955 · PMC2375021 · Genome biology · 2007 · 8 claims · 6 setups
Gene-gene functional similarity can be measured using kappa statistics applied to a binary gene-annotation-term matrix built from 14 annotation categories.