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DENA: training an authentic neural network model using Nanopore sequencing data of Arabidopsis transcripts for detection and quantification of N6-methyladenosine on RNA

Crossref DOI link: https://doi.org/10.1186/s13059-021-02598-3

Published Online: 2022-01-17

Published Print: 2022-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Qin, Hang

Ou, Liang

Gao, Jian

Chen, Longxian

Wang, Jia-Wei

Hao, Pei

Li, Xuan https://orcid.org/0000-0002-7909-7241
Funding

Funding for this research was provided by:

National Key Research and Development Program of China (2018YFA0900700, 2019YFA0904601)

Strategic Priority Research Program of Chinese Academy of Sciences (XDA24010400)

National Natural Science Foundation of China (31771412, 31972881)
License Information

Text and Data Mining valid from 2022-01-17

Version of Record valid from 2022-01-17
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Article History

Received: 25 August 2021

Accepted: 31 December 2021

First Online: 17 January 2022

Declarations

:

: Not applicable.

: Not applicable.

: The authors declare that they have no competing interests.

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