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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Towards the identification of essential genes using targeted genome sequencing and comparative analysis.
PMID 17052348 · PMC1624830 · BMC genomics · 2006 · 8 claims · 8 setups
Phyletic retention (ortholog presence across organisms) is the single most predictive feature of gene essentiality in both E. coli and S. cerevisiae.
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Has reproduction · 30
Minimal metabolic pathway structure is consistent with associated biomolecular interactions.
PMID 24987116 · PMC4299494 · Molecular systems biology · 2014 · 8 claims · 8 setups
MinSpan, a mixed-integer linear optimization algorithm, computes the shortest, linearly independent pathways (sparsest basis of the null space of the stoichiometric matrix S) for genome-scale metabolic networks, which convex approaches (extreme pathways, elementary flux modes) cannot do at genome scale.
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Operon information improves gene expression estimation for cDNA microarrays.
PMID 16630355 · PMC1513396 · BMC genomics · 2006 · 7 claims · 3 setups
A hierarchical Bayesian model that borrows expression information from other genes within the same operon improves estimation of relative transcript levels.
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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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Local combinational variables: an approach used in DNA-binding helix-turn-helix motif prediction with sequence information.
PMID 19651875 · PMC2761287 · Nucleic acids research · 2009 · 8 claims · 7 setups
The LCV approach predicts HTH motifs with 93.29% accuracy, 93.93% sensitivity and 92.66% specificity using only primary sequence information