~/talk

Transcriptional Enhancers - Looking out for the Genes and Each Other

Talkat Network Biology 2016 · 2016-04-11..04-15· [machine-learning]
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slides:none on file

A coupled hierarchical Bayesian model integrates epigenomic enhancer priors and enhancer–gene linking features to fine-map eQTLs in ~300 human hearts, outperforming lasso and fgwas-like approaches in explained variance and recovering variants with DNase footprints and motif disruption enrichment. Genome-wide DNase correlation finds distal enhancer pairs that share TF motifs, chromatin-modifier links and Hi-C proximity, and a facilitated-diffusion extension predicts an occupancy boost ~200% for spatially clustered homotypic sites, validated against matched chromatin and GC controls.

AI-written summary · about

  1. 0:00Intro
  2. 0:21Transcriptome - a key mediator of diversity
  3. 1:09Transcriptional Regulation
  4. 1:51Enhancers - key mediators of context-specific gene regulation
  5. 3:15Genome-wide association studies
  6. 3:43Expression Quantitative Trait Loci (eQTL)
  7. 11:48Biology: Protein binding
  8. 14:46Allelic imbalance
  9. 17:15Properties of correlated enhancers
  10. 22:40Determinants of TF-DNA interaction
  11. 24:32Computing occupancy 'boost in archipelagos (APs) with digital footprint data
  12. 28:23Downstream impact of crowdsourcing occupancy boost
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