A Bayesian framework to identify methylcytosines from high-throughput bisulfite sequencing data.
High-throughput bisulfite sequencing technologies have provided a comprehensive and well-fitted way to investigate DNA methylation at single-base resolution. However, there are substantial bioinformatic challenges to distinguish precisely methylcytosines from unconverted cytosines based on bisulfite...
Guardado en:
Autores principales: | Qing Xie, Qi Liu, Fengbiao Mao, Wanshi Cai, Honghu Wu, Mingcong You, Zhen Wang, Bingyu Chen, Zhong Sheng Sun, Jinyu Wu |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2014
|
Materias: | |
Acceso en línea: | https://doaj.org/article/17f21706f5e54475b523a39cb8f4cb9c |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Subtraction-free and bisulfite-free specific sequencing of 5-methylcytosine and its oxidized derivatives at base resolution
por: Yibin Liu, et al.
Publicado: (2021) -
A Bayesian model based computational analysis of the relationship between bisulfite accessible single-stranded DNA in chromatin and somatic hypermutation of immunoglobulin genes.
por: Guojun Yu, et al.
Publicado: (2021) -
Bisulfite sequencing reveals that Aspergillus flavus holds a hollow in DNA methylation.
por: Si-Yang Liu, et al.
Publicado: (2012) -
Accurate estimation of 5-methylcytosine in mammalian mitochondrial DNA
por: Shigeru Matsuda, et al.
Publicado: (2018) -
Information recovery from low coverage whole-genome bisulfite sequencing
por: Emanuele Libertini, et al.
Publicado: (2016)