Dincer Tevfik Umut, Ernst Jason
Bioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Genome Biol. 2025 May 9;26(1):123. doi: 10.1186/s13059-025-03579-6.
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 ChromScoreHMM genome annotations based on the combinatorial and spatial patterns within these predictions and ChromScore tracks of overall predicted regulatory activity. ChromActivity provides a resource for analyzing and interpreting the human regulatory genome across diverse cell types.
我们介绍了ChromActivity，这是一个通过整合多个表观基因组图谱和各种功能表征数据集来预测和注释全基因组调控活性的计算框架。ChromActivity基于可用的表观基因组数据，生成了与多种细胞类型中每个功能表征数据集相关的全基因组调控活性预测。然后，它针对每种细胞类型，根据这些预测中的组合和空间模式以及整体预测调控活性的ChromScore轨迹，生成ChromScoreHMM基因组注释。ChromActivity为跨多种细胞类型分析和解释人类调控基因组提供了一种资源。
