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).
-
Full-text index only
Prediction of missed cleavage sites in tryptic peptides aids protein identification in proteomics.
PMID 17203985 · PMC2664920 · Journal of proteome research · 2007 · 8 claims · 4 setups
An information-theoretic log-likelihood scoring method can predict experimentally observed missed cleavage sites from amino acid sequence alone with up to 90% accuracy.
-
Full-text index only
Natural selection of protein structural and functional properties: a single nucleotide polymorphism perspective.
PMID 18397526 · PMC2643940 · Genome biology · 2008 · 8 claims · 8 setups
The SNP A/S ratio is a robust measure of selective constraint, correlating with interspecies Ka/Ks ratios and with protein sequence conservation.
-
Full-text index only
IDEAL-Q, an automated tool for label-free quantitation analysis using an efficient peptide alignment approach and spectral data validation.
PMID 19752006 · PMC2808259 · Molecular & cellular proteomics : MCP · 2010 · 6 claims · 5 setups
IDEAL-Q predicts the elution time of peptides unidentified in a given LC-MS/MS run (but identified in others) using a computation-efficient linear regression plus fragmental refining function, avoiding costly whole-dataset pattern recognition
-
Full-text index only
Differential membrane proteomics using 18O-labeling to identify biomarkers for cholangiocarcinoma.
PMID 18839982 · PMC3204659 · Journal of proteome research · 2008 · 7 claims · 4 setups
Golgi membrane protein 1 (GOLM1/GP73), Annexin IV, and Eps8 are validated candidate biomarkers for cholangiocarcinoma
-
Has reproduction · 62
Bayesian prediction of RNA translation from ribosome profiling.
PMID 28126919 · PMC5389577 · Nucleic acids research · 2017 · 8 claims · 4 setups
Rp-Bp is an unsupervised Bayesian approach that uses a two-component 'high-low-low' mixture model to predict translated ORFs from ribosome profiles