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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Sequence variation in G-protein-coupled receptors: analysis of single nucleotide polymorphisms.
PMID 15784611 · PMC1069129 · Nucleic acids research · 2005 · 7 claims · 8 setups
Position-specific phylogenetic features describing evolutionary conservation at a site (e.g. SIFT score, normalized site entropy, residue frequency change) are the best individual discriminators of disease-causing versus neutral GPCR mutations.
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Human SNPs resulting in premature stop codons and protein truncation.
PMID 16595072 · PMC3500177 · Human genomics · 2006 · 8 claims · 6 setups
Genome-wide screening of dbSNP identified 28 validated X-SNPs from 28 genes with known minor allele frequencies.
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HaploSNPer: a web-based allele and SNP detection tool.
PMID 18307806 · PMC2288614 · BMC genetics · 2008 · 6 claims · 2 setups
HaploSNPer is a web-based tool integrating BLASTN, CAP3/PHRAP, and QualitySNP into a single pipeline for allele and SNP detection from diploid and polyploid species
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Genome-wide detection of segmental duplications and potential assembly errors in the human genome sequence.
PMID 12702206 · PMC154576 · Genome biology · 2003 · 8 claims · 6 setups
Segmental duplications comprise 3.53% (107.4/3,043.1 Mb) of the June 2002 human genome assembly
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RAId_DbS: mass-spectrometry based peptide identification web server with knowledge integration.
PMID 18954448 · PMC2605478 · BMC genomics · 2008 · 7 claims · 4 setups
Constructed enhanced protein databases integrating annotated SAPs, PTMs, and disease associations for 17 organisms.
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An integrated database-pipeline system for studying single nucleotide polymorphisms and diseases.
PMID 19091018 · PMC2638159 · BMC bioinformatics · 2008 · 6 claims · 5 setups
Existing SNP/disease databases are fragmented; no combined resource widely supports gene-, SNP-, and disease-related information together