Cargando…
PlantDeepSEA, a deep learning-based web service to predict the regulatory effects of genomic variants in plants
Characterizing regulatory effects of genomic variants in plants remains a challenge. Although several tools based on deep-learning models and large-scale chromatin-profiling data have been available to predict regulatory elements and variant effects, no dedicated tools or web services have been repo...
Autores principales: | Zhao, Hu, Tu, Zhuo, Liu, Yinmeng, Zong, Zhanxiang, Li, Jiacheng, Liu, Hao, Xiong, Feng, Zhan, Jinling, Hu, Xuehai, Xie, Weibo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262748/ https://www.ncbi.nlm.nih.gov/pubmed/34037796 http://dx.doi.org/10.1093/nar/gkab383 |
Ejemplares similares
-
deepTools2: a next generation web server for deep-sequencing data analysis
por: Ramírez, Fidel, et al.
Publicado: (2016) -
DeepAlloDriver: a deep learning-based strategy to predict cancer driver mutations
por: Song, Qianqian, et al.
Publicado: (2023) -
DeepGOWeb: fast and accurate protein function prediction on the (Semantic) Web
por: Kulmanov, Maxat, et al.
Publicado: (2021) -
DLEB: a web application for building deep learning models in biological research
por: Wy, Suyeon, et al.
Publicado: (2022) -
MULocDeep web service for protein localization prediction and visualization at subcellular and suborganellar levels
por: Jiang, Yuexu, et al.
Publicado: (2023)