Cargando…
Use of Graph Database for the Integration of Heterogeneous Biological Data
Understanding complex relationships among heterogeneous biological data is one of the fundamental goals in biology. In most cases, diverse biological data are stored in relational databases, such as MySQL and Oracle, which store data in multiple tables and then infer relationships by multiple-join s...
Autores principales: | Yoon, Byoung-Ha, Kim, Seon-Kyu, Kim, Seon-Young |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korea Genome Organization
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5389944/ https://www.ncbi.nlm.nih.gov/pubmed/28416946 http://dx.doi.org/10.5808/GI.2017.15.1.19 |
Ejemplares similares
-
GENT2: an updated gene expression database for normal and tumor tissues
por: Park, Seung-Jin, et al.
Publicado: (2019) -
BaSDAS: a web-based pooled CRISPR-Cas9 knockout screening data analysis system
por: Park, Young-Kyu, et al.
Publicado: (2020) -
GREG—studying transcriptional regulation using integrative graph databases
por: Mei, Songqing, et al.
Publicado: (2020) -
Integrating spatially-and temporally-heterogeneous data on river network dynamics using graph theory
por: Durighetto, Nicola, et al.
Publicado: (2023) -
LinkedImm: a linked data graph database for integrating immunological data
por: Bukhari, Syed Ahmad Chan, et al.
Publicado: (2021)