Towards inferring nanopore sequencing ionic currents from nucleotide chemical structures

The characteristic ionic currents of nucleotide kmers are commonly used in analyzing nanopore sequencing readouts. We present a graph convolutional network-based deep learning framework for predicting kmer characteristic ionic currents from corresponding chemical structures. We show such a framework...

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Detalles Bibliográficos
Autores principales: Ding, Hongxu, Anastopoulos, Ioannis, Bailey, Andrew D., Stuart, Joshua, Paten, Benedict
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586022/
https://www.ncbi.nlm.nih.gov/pubmed/34764310
http://dx.doi.org/10.1038/s41467-021-26929-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586022/
https://www.ncbi.nlm.nih.gov/pubmed/34764310
http://dx.doi.org/10.1038/s41467-021-26929-x

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