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Integrative epigenomic and functional characterization assay based annotation of regulatory activity across diverse human cell types.

Tevfik Umut DincerJason Ernst
Published in: bioRxiv : the preprint server for biology (2023)
We introduce ChromActivity, a computational framework for predicting and annotating regulatory activity across the genome through integration of multiple epigenomic maps and various functional characterization datasets. ChromActivity generates genomewide predictions of regulatory activity associated with each functional characterization dataset across many cell types based on available epigenomic data. It then for each cell type produces (1) ChromScoreHMM genome annotations based on the combinatorial and spatial patterns within these predictions and (2) ChromScore tracks of overall predicted regulatory activity. ChromActivity provides a resource for analyzing and interpreting the human regulatory genome across diverse cell types.
Keyphrases
  • transcription factor
  • single cell
  • endothelial cells
  • cell therapy
  • rna seq
  • genome wide
  • high throughput
  • stem cells
  • gene expression
  • mesenchymal stem cells
  • electronic health record
  • big data
  • artificial intelligence