Cargando…
Representing and querying disease networks using graph databases
BACKGROUND: Systems biology experiments generate large volumes of data of multiple modalities and this information presents a challenge for integration due to a mix of complexity together with rich semantics. Here, we describe how graph databases provide a powerful framework for storage, querying an...
Autores principales: | Lysenko, Artem, Roznovăţ, Irina A., Saqi, Mansoor, Mazein, Alexander, Rawlings, Christopher J, Auffray, Charles |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4960687/ https://www.ncbi.nlm.nih.gov/pubmed/27462371 http://dx.doi.org/10.1186/s13040-016-0102-8 |
Ejemplares similares
-
Recon2Neo4j: applying graph database technologies for managing comprehensive genome-scale networks
por: Balaur, Irina, et al.
Publicado: (2017) -
STON: exploring biological pathways using the SBGN standard and graph databases
por: Touré, Vasundra, et al.
Publicado: (2016) -
StonPy: a tool to parse and query collections of SBGN maps in a graph database
por: Rougny, Adrien, et al.
Publicado: (2023) -
GraphML-SBGN bidirectional converter for metabolic networks
por: Balaur, Irina, et al.
Publicado: (2022) -
Navigating the disease landscape: knowledge representations for contextualizing molecular signatures
por: Saqi, Mansoor, et al.
Publicado: (2018)