Denoising genome-wide histone ChIP-seq with convolutional neural networks

MOTIVATION: Chromatin immune-precipitation sequencing (ChIP-seq) experiments are commonly used to obtain genome-wide profiles of histone modifications associated with different types of functional genomic elements. However, the quality of histone ChIP-seq data is affected by many experimental parame...

Descripción completa

Detalles Bibliográficos
Autores principales: Koh, Pang Wei, Pierson, Emma, Kundaje, Anshul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Ismb/Eccb 2017: The 25th Annual Conference Intelligent Systems for Molecular Biology Held Jointly with the 16th Annual European Conference on Computational Biology, Prague, Czech Republic, July 21–25, 2017
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870713/
https://www.ncbi.nlm.nih.gov/pubmed/28881977
http://dx.doi.org/10.1093/bioinformatics/btx243

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870713/
https://www.ncbi.nlm.nih.gov/pubmed/28881977
http://dx.doi.org/10.1093/bioinformatics/btx243

Ejemplares similares