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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Genome annotation errors in pathway databases due to semantic ambiguity in partial EC numbers.
PMID 16034025 · PMC1179732 · Nucleic acids research · 2005 · 7 claims · 4 setups
Partial EC numbers are semantically ambiguous, and databases that assign a gene to all reactions sharing the same partial EC number make a faulty inference, causing systematic misannotation.
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Has reproduction · 44
Detecting DNA modifications from SMRT sequencing data by modeling sequence context dependence of polymerase kinetic.
PMID 23516341 · PMC3597545 · PLoS computational biology · 2013 · 8 claims · 7 setups
Local sequence context strongly determines position-specific polymerase kinetic rate: roughly 80% of IPD variation is explained by a 10 bp context (7 bases upstream, 2 bases downstream of the incorporation site), saturating at 7 bases upstream.
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'Unknown' proteins and 'orphan' enzymes: the missing half of the engineering parts list--and how to find it.
PMID 20001958 · PMC3022307 · The Biochemical journal · 2009 · 8 claims · 8 setups
Comparative genomics is the single most effective strategy for predicting functions of unknown proteins and finding genes for orphan enzymes
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Network inference and network response identification: moving genome-scale data to the next level of biological discovery.
PMID 20174676 · PMC3087299 · Molecular bioSystems · 2010 · 8 claims · 8 setups
Cellular response to a signal is assumed to involve only specific TRN modules (conditionally active subnetworks) rather than the entire network, providing quantitative tractability
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Comparative genomics and understanding of microbial biology.
PMID 10998382 · PMC2627966 · Emerging infectious diseases · 2000 · 8 claims · 7 setups
GC content varies widely among prokaryotic genomes (29% in B. burgdorferi to 68% in M. tuberculosis) and shapes codon usage and amino acid composition.