Cargando…
Identifying RNA N6-Methyladenine Sites in Three Species Based on a Markov Model
N6-methyladenosine (m6A), the most common posttranscriptional modification in eukaryotic mRNAs, plays an important role in mRNA splicing, editing, stability, degradation, etc. Since the methylation state is dynamic, methylation sequencing needs to be carried out over different time periods, which br...
Autores principales: | Pian, Cong, Yang, Zhixin, Yang, Yuqian, Zhang, Liangyun, Chen, Yuanyuan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8017269/ https://www.ncbi.nlm.nih.gov/pubmed/33815484 http://dx.doi.org/10.3389/fgene.2021.650803 |
Ejemplares similares
-
Deep6mA: A deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species
por: Li, Zutan, et al.
Publicado: (2021) -
DNA N6-Methyladenine Modification in Eukaryotic Genome
por: Li, Hao, et al.
Publicado: (2022) -
iDNA6mA-Rice: A Computational Tool for Detecting N6-Methyladenine Sites in Rice
por: Lv, Hao, et al.
Publicado: (2019) -
N6-methyladenine regulator-mediated RNA methylation modification patterns in immune microenvironment regulation of osteoarthritis
por: Gu, Yong, et al.
Publicado: (2023) -
SNNRice6mA: A Deep Learning Method for Predicting DNA N6-Methyladenine Sites in Rice Genome
por: Yu, Haitao, et al.
Publicado: (2019)