Development of a statistical approach to decipher information from high-order chromatin structure and the epigenome

2015 Fiscal Year Final Research Report

• Project/Area Number: 25730173
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Life / Health / Medical informatics
• Research Institution: Nagoya University (2014-2015); The University of Tokyo (2013)
• Principal Investigator: Shimamura Teppei 名古屋大学, 医学(系)研究科(研究院), 特任准教授 (00623943)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: バイオインフォマティクス / ベイズモデル / 次世代シークエンサー / 高次クロマチン構造 / エピゲノム

Outline of Final Research Achievements

In this study, we develop statistical methods for predicting chromatin interaction regions from high-order epigenome information obtained from chromosome conformation capture techniques such as ChIA-PET and hi-C.
The outline of research results is described below. 1) probabilistic alignment for ChIA-PET sequencing tags to reference genome; 2) bias correction of ChIA-PET count data with Poisson regression model; 3) detection of chromatin interaction regions with Bayesian mixture model of negative binomial distributions; 4) detection of cell-type specific or signal dependent transcription factories; 5) development of pipelines for analyzing ChIA-PET sequencing data.

Free Research Field

バイオインフォマティクス