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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SelTarbase, a database of human mononucleotide-microsatellite mutations and their potential impact to tumorigenesis and immunology.
PMID 19820113 · PMC2808963 · Nucleic acids research · 2010 · 7 claims · 6 setups
SelTarbase is a curated relational database of published mononucleotide-repeat mutation data from MSI-H human colorectal, gastric, endometrial tumors and colon cancer cell lines.
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Gene Prospector: an evidence gateway for evaluating potential susceptibility genes and interacting risk factors for human diseases.
PMID 19063745 · PMC2613935 · BMC bioinformatics · 2008 · 8 claims · 5 setups
Gene Prospector is a Web-based application that selects and prioritizes potential disease-related genes using a curated, updated literature database of genetic association studies
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G2Cdb: the Genes to Cognition database.
PMID 18984621 · PMC2686544 · Nucleic acids research · 2009 · 7 claims · 7 setups
G2Cdb integrates experimentally validated synapse proteome datasets with mouse/human genomic annotation, phenotype, and human disease data in a gene-centric database.
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Integrating proteomic, transcriptional, and interactome data reveals hidden components of signaling and regulatory networks.
PMID 19638617 · PMC2889494 · Science signaling · 2009 · 8 claims · 6 setups
Pathway reconstruction can be modeled as a prize-collecting Steiner tree problem, balancing penalties for excluding terminal nodes against costs for including edges, controlled by a parameter β.
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InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale.
PMID 17868464 · PMC2375030 · Genome biology · 2007 · 8 claims · 8 setups
InSite predicts protein-pair-specific binding motifs ('Motif M on protein A binds to protein B') by integrating heterogeneous PPI and motif-motif interaction evidence within a Bayesian network trained by EM