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).

• Bayesian prediction of microbial oxygen requirement.

  PMID 26913185 · PMC4743139 · F1000Research · 2013 · 7 claims · 8 setups

  Has reproduction · 76

  A naive Bayesian classifier based on presence/absence of class-associated Pfam-A domains can distinguish three oxygen requirement classes (aerobe, anaerobe, facultative anaerobe) from genome sequence, unlike prior studies that only made pairwise distinctions.

  bacterial selected predicted pfam-a genome gene domain

• Organization of physical interactomes as uncovered by network schemas.

  PMID 18949022 · PMC2561054 · PLoS computational biology · 2008 · 7 claims · 5 setups

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  A computational procedure can systematically identify 'emergent' network schemas that are both recurrent and over-represented relative to randomized networks preserving lower-order subschema distributions

  cerevisiae sapiens uncharacterized network cross-species functional

• Protein coding potential of retroviruses and other transposable elements in vertebrate genomes.

  PMID 15716312 · PMC549403 · Nucleic acids research · 2005 · 8 claims · 5 setups

  Full-text index only

  About 1000 genes across four vertebrate gene sets analyzed contain at least one RETRA marker protein domain

  predicted non-masked genome interpro hmm tblastn inter-species

• Pseudofam: the pseudogene families database.

  PMID 18957444 · PMC2686518 · Nucleic acids research · 2009 · 8 claims · 7 setups

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  Pseudofam is an online database of pseudogene families built by mapping pseudogenes to Pfam protein families, providing query tools, statistics, and sequence alignments

  eukaryotic over pseudogenes pseudogene blast family sequence

• Analysis of protein sequence and interaction data for candidate disease gene prediction.

  PMID 17020920 · PMC1636487 · Nucleic acids research · 2006 · 8 claims · 7 setups

  Full-text index only

  Combining CPS and CMP using known disease genes as input achieves sensitivity 0.52 and specificity 0.97, reducing candidate lists 13-fold

  ophid biocarta kegg pfam-annotated common benchmarking multiple-interval