Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus

Although Hi-C technology is one of the most popular tools for studying 3D genome organization, due to sequencing cost, the resolution of most Hi-C datasets are coarse and cannot be used to link distal regulatory elements to their target genes. Here we develop HiCPlus, a computational approach based...

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Detalles Bibliográficos
Autores principales: Zhang, Yan, An, Lin, Xu, Jie, Zhang, Bo, Zheng, W. Jim, Hu, Ming, Tang, Jijun, Yue, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5821732/
https://www.ncbi.nlm.nih.gov/pubmed/29467363
http://dx.doi.org/10.1038/s41467-018-03113-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5821732/
https://www.ncbi.nlm.nih.gov/pubmed/29467363
http://dx.doi.org/10.1038/s41467-018-03113-2

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