Detection of DNA base modifications by deep recurrent neural network on Oxford Nanopore sequencing data

Detection of DNA base modifications by deep recurrent neural network on Oxford Nanopore sequencing data

DNA modification generates unique electric signals in Oxford Nanopore sequencing data but the signals can be complicated to decipher. Here, the authors develop a deep learning framework, DeepMod, to detect DNA base modifications including 5mC and 6mA using Nanopore sequencing data

Bibliographic Details
Main Authors: Qian Liu, Li Fang, Guoliang Yu, Depeng Wang, Chuan-Le Xiao, Kai Wang
Format: Article
Language:English
Published: Nature Portfolio 2019-06-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-019-10168-2
Description
Summary:DNA modification generates unique electric signals in Oxford Nanopore sequencing data but the signals can be complicated to decipher. Here, the authors develop a deep learning framework, DeepMod, to detect DNA base modifications including 5mC and 6mA using Nanopore sequencing data
ISSN:2041-1723

Similar Items