ChIAMM: A Mixture Model for Statistical Analysis of Long-Range Chromatin Interactions From ChIA-PET Experiments
Chromatin interaction analysis by paired-end tag sequencing (ChIA-PET) is an important experimental method for detecting specific protein-mediated chromatin loops genome-wide at high resolution. Here, we proposed a new statistical approach with a mixture model, chromatin interaction analysis using m...
Main Authors: | Yibeltal Arega, Hao Jiang, Shuangqi Wang, Jingwen Zhang, Xiaohui Niu, Guoliang Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2020-12-01
|
Series: | Frontiers in Genetics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2020.616160/full |
Similar Items
-
Identifying lncRNA-mediated regulatory modules via ChIA-PET network analysis
by: Denise Thiel, et al.
Published: (2019-05-01) -
Mapping Multi-factor-mediated Chromatin Interactions to Assess Dysregulation of Lung Cancer-related Genes
by: Yan Zhang, et al.
Published: (2023-06-01) -
Bacon: a comprehensive computational benchmarking framework for evaluating targeted chromatin conformation capture-specific methodologies
by: Li Tang, et al.
Published: (2022-01-01) -
3D organization of regulatory elements for transcriptional regulation in Arabidopsis
by: Li Deng, et al.
Published: (2023-08-01) -
Chromatin interaction neural network (ChINN): a machine learning-based method for predicting chromatin interactions from DNA sequences
by: Fan Cao, et al.
Published: (2021-08-01)