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).

• Meta-analysis of inter-species liver co-expression networks elucidates traits associated with common human diseases.

  PMID 20019805 · PMC2787626 · PLoS computational biology · 2009 · 8 claims · 8 setups

  Full-text index only

  A novel semi-parametric meta-analysis method (based on a gene-centric Glass's d effect size) outperforms existing parametric and non-parametric meta-analysis methods at identifying functionally coherent gene pairs across species.

  liver simulated conserved nearly gene simulation kolmogorov-smirnov

• AuPairWise: A Method to Estimate RNA-Seq Replicability through Co-expression.

  PMID 27082953 · PMC4833304 · PLoS computational biology · 2016 · 7 claims · 6 setups

  Has reproduction · 88

  Sample-sample correlation of transcript abundances is a misleading measure of replicability for assessing differential expression, because it is dominated by gene-specific dynamic ranges rather than condition-dependent variation.

  liver encode publicly co-expressed rna-seq meta-analysis computational

• TP53 engagement with the genome occurs in distinct local chromatin environments via pioneer factor activity.

  PMID 25391375 · PMC4315292 · Genome research · 2015 · 8 claims · 8 setups

  Has reproduction · 80

  TP53 binding events fall into three distinct categories defined by the local chromatin environment: TSS (H3K4me3+), enhancer (H3K4me1+/H3K4me3-), and distal (H3K4me1-/H3K4me3-) peaks.

  imr90 hct116 chip-seq rna-seq atac-seq

• Elucidation of the molecular responses to waterlogging in Jatropha roots by transcriptome profiling.

  PMID 25520726 · PMC4251292 · Frontiers in plant science · 2014 · 8 claims · 8 setups

  Has reproduction · 93

  24 h of waterlogging significantly alters mRNA abundance of 1968 genes in Jatropha roots (931 up, 1037 down).

  jatropha geo bulk semi-quantitative quantitative