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DENA: training an authentic neural network model using Nanopore sequencing data of Arabidopsis transcripts for detection and quantification of N(6)-methyladenosine on RNA
Models developed using Nanopore direct RNA sequencing data from in vitro synthetic RNA with all adenosine replaced by N(6)-methyladenosine (m(6)A) are likely distorted due to superimposed signals from saturated m(6)A residues. Here, we develop a neural network, DENA, for m(6)A quantification using t...
Autores principales: | Qin, Hang, Ou, Liang, Gao, Jian, Chen, Longxian, Wang, Jia-Wei, Hao, Pei, Li, Xuan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8762864/ https://www.ncbi.nlm.nih.gov/pubmed/35039061 http://dx.doi.org/10.1186/s13059-021-02598-3 |
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