Cargando…
Footprint-based functional analysis of multiomic data
Omic technologies allow us to generate extensive data, including transcriptomic, proteomic, phosphoproteomic and metabolomic. These data can be used to study signal transduction, gene regulation and metabolism. In this review, we summarise resources and methods to analysis these types of data. We fo...
Autores principales: | Dugourd, Aurelien, Saez-Rodriguez, Julio |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357600/ https://www.ncbi.nlm.nih.gov/pubmed/32685770 http://dx.doi.org/10.1016/j.coisb.2019.04.002 |
Ejemplares similares
-
FUNKI: interactive functional footprint-based analysis of omics data
por: Hernansaiz-Ballesteros, Rosa, et al.
Publicado: (2022) -
Converting networks to predictive logic models from perturbation signalling data with CellNOpt
por: Gjerga, Enio, et al.
Publicado: (2020) -
Pan‐Cancer landscape of protein activities identifies drivers of signalling dysregulation and patient survival
por: Sousa, Abel, et al.
Publicado: (2023) -
Macrophage beta2-adrenergic receptor is dispensable for the adipose tissue inflammation and function
por: Petkevicius, Kasparas, et al.
Publicado: (2021) -
From expression footprints to causal pathways: contextualizing large signaling networks with CARNIVAL
por: Liu, Anika, et al.
Publicado: (2019)