کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10536744 | 962597 | 2014 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A Bayesian changepoint analysis of ChIP-Seq data of Lamin B
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A Bayesian changepoint analysis of ChIP-Seq data of Lamin B A Bayesian changepoint analysis of ChIP-Seq data of Lamin B](/preview/png/10536744.png)
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics - Volume 1844, Issue 1, Part A, January 2014, Pages 138-144
Journal: Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics - Volume 1844, Issue 1, Part A, January 2014, Pages 138-144
نویسندگان
S. Herrmann, H. Schwender, K. Ickstadt, P. Müller,