Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure
Regulatory and coding regions of genes are shaped by evolution to control expression levels. Here, the authors use deep learning to identify rules controlling gene expression levels and suggest that all parts of the gene regulatory structure interact in this.
Guardado en:
Autores principales: | Jan Zrimec, Christoph S. Börlin, Filip Buric, Azam Sheikh Muhammad, Rhongzen Chen, Verena Siewers, Vilhelm Verendel, Jens Nielsen, Mats Töpel, Aleksej Zelezniak |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2020
|
Materias: | |
Acceso en línea: | https://doaj.org/article/a9186003c7214e17a2d079a1c50e08ae |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Plastic-Degrading Potential across the Global Microbiome Correlates with Recent Pollution Trends
por: Jan Zrimec, et al.
Publicado: (2021) -
Bayesian genome scale modelling identifies thermal determinants of yeast metabolism
por: Gang Li, et al.
Publicado: (2021) -
Inequality in genetic cancer risk suggests bad genes rather than bad luck
por: Mats Julius Stensrud, et al.
Publicado: (2017) -
Gene inversion potentiates bacterial evolvability and virulence
por: Christopher N. Merrikh, et al.
Publicado: (2018) -
Memory for medicinal plants remains in ancient and modern environments suggesting an evolved adaptedness.
por: Joelson Moreno Brito Moura, et al.
Publicado: (2021)