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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| 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 |