Suppr超能文献

ChromActivity:基于整合表观基因组和功能特征分析的多种人类细胞类型调控活性注释方法。

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

作者信息

Dincer Tevfik Umut, Ernst Jason

机构信息

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.

出版信息

Genome Biol. 2025 May 9;26(1):123. doi: 10.1186/s13059-025-03579-6.

Abstract

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.

摘要

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f119/12063466/e1c80de1c32e/13059_2025_3579_Fig2_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验