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).

• 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

  Has reproduction · 44

  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.

  plasmid coli wild-type artificial smrt read-mixing distributional

• Sequence variation in G-protein-coupled receptors: analysis of single nucleotide polymorphisms.

  PMID 15784611 · PMC1069129 · Nucleic acids research · 2005 · 7 claims · 8 setups

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  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.

  dbsnp gpcr transmembrane sequence six-frame sift logistic

• Aberrant 5' splice sites in human disease genes: mutation pattern, nucleotide structure and comparison of computational tools that predict their utilization.

  PMID 17576681 · PMC1934990 · Nucleic acids research · 2007 · 8 claims · 4 setups

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  Cryptic 5'ss are best predicted by computational algorithms that accommodate nucleotide dependencies (e.g., Markov model, maximum entropy, maximum dependence decomposition) rather than by weight-matrix models

  disease mammalian compiled literature minigene computational

• SNAP: predict effect of non-synonymous polymorphisms on function.

  PMID 17526529 · PMC1920242 · Nucleic acids research · 2007 · 7 claims · 8 setups

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  SNAP, a neural network-based method using sequence-derived information, predicts whether a non-synonymous SNP is neutral or non-neutral for protein function

  combined escherichia bacteriophage hiv-1 neural benchmark comparative