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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Full-text index only
Predicting deleterious nsSNPs: an analysis of sequence and structural attributes.
PMID 16630345 · PMC1489951 · BMC bioinformatics · 2006 · 8 claims · 7 setups
Sequence conservation (PSIC score difference) at the nsSNP position is the single most useful attribute for predicting deleterious vs neutral status.
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Sequence similarity network reveals common ancestry of multidomain proteins.
PMID 18475320 · PMC2377100 · PLoS computational biology · 2008 · 8 claims · 6 setups
Traditional homology definitions do not capture multidomain evolution; the authors extend the definition to include domain insertion via a common ancestral locus model.
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BABELOMICS: a systems biology perspective in the functional annotation of genome-scale experiments.
PMID 16845052 · PMC1538844 · Nucleic acids research · 2006 · 8 claims · 8 setups
Babelomics is presented as an updated, complete suite of web tools for functional analysis of genome-scale experiments with new and improved modules
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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
Information extraction from full text scientific articles: where are the keywords?
PMID 12775220 · PMC166134 · BMC bioinformatics · 2003 · 8 claims · 5 setups
The keyword content of the five article sections (A, I, M, R, D) is heterogeneous, i.e., different sections carry different kinds of information.
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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.
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Extraction of human kinase mutations from literature, databases and genotyping studies.
PMID 19758464 · PMC2745582 · BMC bioinformatics · 2009 · 7 claims · 6 setups
A literature mining pipeline combining MutationFinder, false-positive filtering, and SVM-based classification can extract and disambiguate single-point mutation mentions from abstracts and full text