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 · 76
Estimation of peptide elongation times from ribosome profiling spectra.
PMID 33885812 · PMC8136808 · Nucleic acids research · 2021 · 7 claims · 4 setups
A maximum likelihood statistical model using 915 context-defining parameters can neutralize technical biases (e.g. RNase cleavage preferences) in Ribo-Seq data and estimate peptide elongation times at single-codon resolution.
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Has reproduction · 83
ConNIS and labeling instability: New statistical methods for improving the detection of essential genes in TraDIS libraries.
PMID 41790830 · PMC12991369 · PLoS computational biology · 2026 · 7 claims · 4 setups
ConNIS provides an analytic probability distribution for the length of the longest insertion-free sequence within a gene, given gene length and expected insertion count.
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Has reproduction · 50
RNA modifications detection by comparative Nanopore direct RNA sequencing.
PMID 34893601 · PMC8664944 · Nature communications · 2021 · 7 claims · 5 setups
Nanocompore is a model-free comparative method that uses a 2-component Gaussian mixture model (GMM) and univariate statistical tests on signal intensity/dwell time to detect RNA modifications in Nanopore direct RNA sequencing data without needing a training set
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Shaken not stirred: a global research cocktail served in Hinxton.
PMID 18036269 · PMC2258181 · Genome biology · 2007 · 8 claims · 8 setups
Network-guided reverse genetics using probabilistic functional gene networks (e.g. YeastNet, WormNet) reduces the search space for identifying genes in a given biological process
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With the finished human genome in hand, what next?
PMID 12844356 · PMC193627 · Genome biology · 2003 · 8 claims · 8 setups
Gene Ontology (GO) provides a syntax/query framework for functional classification of genes, expanding beyond E. coli origins into anatomy, pathology, and phenotype data.