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).

• Expoldb: expression linked polymorphism database with inbuilt tools for analysis of expression and simple repeats.

  PMID 17038195 · PMC1618849 · BMC genomics · 2006 · 8 claims · 6 setups

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  EXPOLDB is a novel database integrating human gene expression variability data (including monozygotic twin comparisons) with (TG/CA)n repeat polymorphism information

  blood genomic genes housekeeping microarray repeat est-based

• The excess of 5' introns in eukaryotic genomes.

  PMID 16314314 · PMC1292992 · Nucleic acids research · 2005 · 7 claims · 4 setups

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  All 21 eukaryotic genomes studied show a statistically significant 5′-biased distribution of introns in protein-coding genes

  eukaryotic same housekeeping comparative chi-square bidirectional

• Long-range regulation is a major driving force in maintaining genome integrity.

  PMID 19682388 · PMC2741452 · BMC evolutionary biology · 2009 · 7 claims · 5 setups

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  Long-range transcriptional regulation is a major driving force in maintaining genome integrity by constraining where chromosomal breakpoints can become fixed.

  opossum genome comparative identification statistical

• 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

• Optimal scaling of digital transcriptomes.

  PMID 24223126 · PMC3819321 · PloS one · 2013 · 8 claims · 8 setups

  Has reproduction · 67

  Fifteen existing and novel transcript-count normalization algorithms can be compared with two novel, mutually independent metrics: the number of "uniform" genes (sufficiently low coefficient of variation after normalization) and low average Spearman correlation between normalized expression profiles of gene pairs.

  tissues bodymap mapped 16-sample bulk read transcript