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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Chemical genomics: what will it take and who gets to play?
PMID 11423004 · PMC138939 · Genome biology · 2001 · 8 claims · 8 setups
Scaling chemical genetics to a genome-wide 'chemical genomics' requires large, well-funded, multidisciplinary centers that integrate compound libraries, protein resources, automation, and profiling technology, and freely distribute data and reagents.
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Has reproduction · 74
ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia.
PMID 22955991 · PMC3431496 · Genome research · 2012 · 8 claims · 8 setups
ENCODE/modENCODE define a set of working standards and guidelines for ChIP-seq covering antibody validation, experimental replication, sequencing depth, data/metadata reporting, and data quality assessment.
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Comparing protein abundance and mRNA expression levels on a genomic scale.
PMID 12952525 · PMC193646 · Genome biology · 2003 · 8 claims · 8 setups
Correlations between mRNA expression and protein abundance are generally poor or limited across most studies reviewed, including in yeast and human cancers
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The Proteomic Code: a molecular recognition code for proteins.
PMID 17999762 · PMC2206014 · Theoretical biology & medical modelling · 2007 · 8 claims · 8 setups
The Proteomic Code is a set of rules by which genetic information is transferred into the physico-chemical properties of amino acids, determining protein-protein interactions and folding; it is part of the redundant Genetic Code.
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Functional annotation and identification of candidate disease genes by computational analysis of normal tissue gene expression data.
PMID 18560577 · PMC2409962 · PloS one · 2008 · 7 claims · 5 setups
Ranked Coexpression Groups (RCG) built from k=6 nearest coexpressed genes, combined with a majority-rule functional characterization, integrate multiple datasets/coexpression measures to generate high-confidence functional annotation predictions