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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EpiToolKit--a web server for computational immunomics.
PMID 18440979 · PMC2447732 · Nucleic acids research · 2008 · 7 claims · 3 setups
EpiToolKit is a web server integrating five MHC class I and two MHC class II epitope prediction methods in a unified, user-friendly interface.
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Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes.
PMID 16757574 · PMC1475747 · Nucleic acids research · 2006 · 6 claims · 8 setups
Applying seven independent computational disease-gene prioritization methods in concert to 9556 positional candidate genes identifies a prioritized set of likely T2D and obesity candidate genes
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MutDB: update on development of tools for the biochemical analysis of genetic variation.
PMID 17827212 · PMC2238958 · Nucleic acids research · 2008 · 7 claims · 5 setups
MutDB integrates dbSNP and Swiss-Prot genetic variation data with protein structural information, functional disruption prediction scores, and clinical phenotype links (OMIM, dbGAP)
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MiPred: classification of real and pseudo microRNA precursors using random forest prediction model with combined features.
PMID 17553836 · PMC1933124 · Nucleic acids research · 2007 · 8 claims · 8 setups
A hybrid feature combining local contiguous triplet structure-sequence composition, MFE of the secondary structure, and P-value of a randomization test improves classification of real vs pseudo pre-miRNAs
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Local combinational variables: an approach used in DNA-binding helix-turn-helix motif prediction with sequence information.
PMID 19651875 · PMC2761287 · Nucleic acids research · 2009 · 8 claims · 7 setups
The LCV approach predicts HTH motifs with 93.29% accuracy, 93.93% sensitivity and 92.66% specificity using only primary sequence information
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COMUS: Clinician-Oriented locus-specific MUtation detection and deposition System.
PMID 19958500 · PMC2788389 · BMC genomics · 2009 · 8 claims · 6 setups
COMUS is a bioinformatics system for detecting and depositing new mutations from patient DNA with a clinician-friendly interface