DeepHistone: a deep learning approach to predicting histone modifications

MOTIVATION: Quantitative detection of histone modifications has emerged in the recent years as a major means for understanding such biological processes as chromosome packaging, transcriptional activation, and DNA damage. However, high-throughput experimental techniques such as ChIP-seq are usually...

Descripción completa

Detalles Bibliográficos
Autores principales: Yin, Qijin, Wu, Mengmeng, Liu, Qiao, Lv, Hairong, Jiang, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6456942/
https://www.ncbi.nlm.nih.gov/pubmed/30967126
http://dx.doi.org/10.1186/s12864-019-5489-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6456942/
https://www.ncbi.nlm.nih.gov/pubmed/30967126
http://dx.doi.org/10.1186/s12864-019-5489-4

Ejemplares similares