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Automated mapping of large-scale chromatin structure in ENCODE

机译:在ENCODE中自动映射大型染色质结构

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摘要

Motivation: A recently developed DNaseI assay has given us our first genome-wide view of chromatin structure. In addition to cataloging DNaseI hypersensitive sites, these data allows us to more completely characterize overall features of chromatin accessibility. We employed a Bayesian hierarchical change-point model (CPM), a generalization of a hidden Markov Model (HMM), to characterize tiled microarray DNaseI sensitivity data available from the ENCODE project.
机译:动机:最近开发的DNaseI分析使我们获得了染色质结构的全基因组视野。除了对DNaseI高敏感性位点进行分类外,这些数据还使我们能够更完整地表征染色质可及性的总体特征。我们采用贝叶斯分层变化点模型(CPM)(一种隐马尔可夫模型(HMM)的概括)来表征可从ENCODE项目获得的切片微阵列DNaseI敏感性数据。

著录项

  • 来源
    《Bioinformatics》 |2008年第17期|1911-1916|共6页
  • 作者单位

    Division of Mathematical Sciences SPMS Nanyang Technological University Singapore;

    Center for Computational Molecular Biology Division of Applied Mathematics Brown University Providence RI;

    Division of Medical Genetics;

    Department of Genome Sciences and;

    Department of Computer Science and Engineering University of Washington Seattle WA USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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