A Bayesian changepoint analysis of ChIP-Seq data of Lamin B.
A Bayesian changepoint analysis of ChIP-Seq data of Lamin B.
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Lamin B ChIP-Seq 数据的贝叶斯变点分析
DOI：
10.1016/j.bbapap.2013.09.001
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Müller
中科院分区：
文献类型：
--
作者：
Herrmann;Schwender;Ickstadt;Müller
细胞核中染色体的空间组织受到与核层结合的染色质区域的影响，即，核被膜的内部。为了研究间期核中染色体的结构，因此检测这样的染色质片段具有很高的意义。这一目标可以通过考虑纤维蛋白核纤层蛋白B作为替代品来实现，因为核纤层蛋白B的高丰度区域可以指示附着于核lamina.We的染色质片段分析ChIP-Seq（染色质免疫沉淀测序）的数据，该数据来自设计用于记录核纤层蛋白B丰度的实验。我们介绍了一个贝叶斯分割过程中，马尔可夫链蒙特卡罗（MCMC）算法用于推理所需的分割。该过程是基于贝叶斯分层模型。推断允许区分核纤层蛋白B的高水平与低水平区域，因此，提供了对染色质与核包膜结合的洞察。在统计软件环境R中可以实现这种方法。这篇文章是一个特殊问题的一部分，题为：计算蛋白质组学在后识别时代。客座编辑：Martin Eisenacher和Christian Stephan。
The spatial organisation of the chromosomes in the nucleus is influenced by chromatin regions binding to the nucleic lamina, i.e., the inner part of the nucleic envelope. To investigate the architecture of chromosomes in the interphase nucleus, it is thus of high interest to detect such chromatin segments. This goal can be achieved by considering the fibrous protein Lamin B as a surrogate, since regions of high abundance of Lamin B can indicate chromatin segments attached to the nucleic lamina.We analyse ChIP-Seq (Chromatin-Immunoprecipitation Sequencing) data from an experiment that is designed to record Lamin B abundance. We introduce a Bayesian segmentation procedure in which a Markov Chain Monte Carlo (MCMC) algorithm is used for inference about the desired segmentation. The procedure is based on a Bayesian hierarchical model. Inference allows the distinction between regions of high versus low levels of Lamin B, and therefore, gives an insight into the binding of the chromatin to the nucleic envelope. An implementation of this approach is available in the statistical software environment R. This article is part of a special issue entitled: Computational proteomics in the post-identification era. Guest Editors: Martin Eisenacher and Christian Stephan.
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影响因子：
2.1
作者：
Olshen, AB;Venkatraman, ES;Wigler, M
通讯作者：
Wigler, M
DOI：
--
发表时间：
1997
期刊：
Journal of the royal statistical society series b-methodological
影响因子：
--
作者：
S. Richardson;P. Green;Christian P. Robert;M. Aitkin;David R. Cox;Matthew Stephens;A. Polymenis;W. Gilks;A. Nobile;M. Hodgson;Anthony O'Hagan;N. Longford;A. Dawid;Anthony C. Atkinson;J. Bernardo;J. Besag;Stephen Brooks;S. Byers;A. Raftery;G. Celeux;R. Cheng;W. B. Liu;Yung-Hsin Chien;Edward I. George;N. Cressie;H.-C. Huang;M. Gruet;S. C. Heath;C. Jennison;Andrew B. Lawson;Allan Clark;Geoffrey J. McLachlan;D. Peel;K. Mengersen;A. George;Anne Philippe;Kathryn Roeder;Larry Wasserman;Peter Schlattmann;D. Böhning;D. M. Titterington;H. Tong;M. West
通讯作者：
S. Richardson;P. Green;Christian P. Robert;M. Aitkin;David R. Cox;Matthew Stephens;A. Polymenis;W. Gilks;A. Nobile;M. Hodgson;Anthony O'Hagan;N. Longford;A. Dawid;Anthony C. Atkinson;J. Bernardo;J. Besag;Stephen Brooks;S. Byers;A. Raftery;G. Celeux;R. Cheng;W. B. Liu;Yung-Hsin Chien;Edward I. George;N. Cressie;H.-C. Huang;M. Gruet;S. C. Heath;C. Jennison;Andrew B. Lawson;Allan Clark;Geoffrey J. McLachlan;D. Peel;K. Mengersen;A. George;Anne Philippe;Kathryn Roeder;Larry Wasserman;Peter Schlattmann;D. Böhning;D. M. Titterington;H. Tong;M. West
影响因子：
5.8
作者：
Erdman, Chandra;Emerson, John W.
通讯作者：
Emerson, John W.
贝叶斯拟合优度的混合方法
DOI：
--
发表时间：
2002
期刊：
影响因子：
--
作者：
C. Robert;J. Rousseau
通讯作者：
J. Rousseau