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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F-SNP: computationally predicted functional SNPs for disease association studies.
PMID 17986460 · PMC2238878 · Nucleic acids research · 2008 · 6 claims · 8 setups
F-SNP is a database integrating functional effect predictions for SNPs from 16 bioinformatics tools/databases across four categories: splicing, transcription, translation, and post-translation
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SNAP: predict effect of non-synonymous polymorphisms on function.
PMID 17526529 · PMC1920242 · Nucleic acids research · 2007 · 7 claims · 8 setups
SNAP, a neural network-based method using sequence-derived information, predicts whether a non-synonymous SNP is neutral or non-neutral for protein function
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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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In silico analysis of missense substitutions using sequence-alignment based methods.
PMID 18951440 · PMC3431198 · Human mutation · 2008 · 8 claims · 7 setups
Carefully validated PMSA-based computational algorithms can achieve predictive values of ~75-95% for classifying missense substitutions as pathogenic or neutral.
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Function2Gene: a gene selection tool to increase the power of genetic association studies by utilizing public databases and expert knowledge.
PMID 18631403 · PMC2500032 · BMC bioinformatics · 2008 · 6 claims · 5 setups
Function2Gene is a set of Perl programs that queries public databases (NCBI, GeneCards, Harvester, with Uniprot/Ensembl also supported) using expert-selected keywords to rank genes by prior probability of disease association.