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).

• An evaluation of the performance of tag SNPs derived from HapMap in a Caucasian population.

  PMID 16532062 · PMC1391920 · PLoS genetics · 2006 · 8 claims · 5 setups

  Full-text index only

  CEU HapMap-derived tSNPs capture most of the genetic variation observed in the Estonian (EGP) population sample

  individuals hapmap egp snp tag median-joining

• A model-based approach to selection of tag SNPs.

  PMID 16776821 · PMC1525207 · BMC bioinformatics · 2006 · 7 claims · 5 setups

  Full-text index only

  The Li and Stephens hidden Markov model outperforms other tested models (simple Markov, two-state HMM, HMM-4D, greedy GR-1/GR-2) in description code-length, tag set information content, and prediction of tagged SNPs.

  hapmap encode enr112 tag cross-validated entropy tagged

• EGASP: the human ENCODE Genome Annotation Assessment Project.

  PMID 16925836 · PMC1810551 · Genome biology · 2006 · 8 claims · 6 setups

  Full-text index only

  Best-performing computational gene prediction methods correctly predict at least one transcript for close to 70% of annotated genes in the ENCODE regions.

  encode computational manual rt-pcr

• GENCODE: producing a reference annotation for ENCODE.

  PMID 16925838 · PMC1810553 · Genome biology · 2006 · 8 claims · 8 setups

  Full-text index only

  GENCODE annotation combines initial manual annotation by HAVANA, experimental validation, and refinement based on results to identify protein-coding genes in ENCODE regions

  tissues encode rt-pcr comparative automated

• Software for tag single nucleotide polymorphism selection.

  PMID 16004730 · PMC3525260 · Human genomics · 2005 · 8 claims · 3 setups

  Full-text index only

  Pairwise R2 methods tend to pick more tagging SNPs than strictly needed because they miss redundancy where two or more tag SNPs jointly predict an untagged SNP with no single direct surrogate.

  tgfbr1 encode candidate tag haplotype