Are graph databases ready for bioinformatics?

Bioinformatics

Volumn 29, Issue 24, 2013, Pages 3107-3108

  Have, Christian Theil ^a   Jensen, Lars Juhl ^b   Wren, Jonathan ^c  

^a Capital Region   (Denmark)

^b University of Copenhagen   (Denmark)

^c NONE

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGY; COMPUTER GRAPHICS; EDITORIAL; FACTUAL DATABASE;

COMPUTATIONAL BIOLOGY; COMPUTER GRAPHICS; DATABASES, FACTUAL;

EID: 84900366647     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btt549     Document Type: Editorial

References (5)

1. Franceschini, A. et al. (2013) STRING v9.1: protein-protein interaction networks, with increased coverage and integration. Nucleic Acids Res., 41, D808-D815.
2. Linding, R. et al. (2007) Systematic discovery of in vivo phosphorylation networks. Cell, 129, 1415-1426.
3. Schriml, L.M. et al. (2012) Disease ontology: a backbone for disease semantic integration. Nucleic Acids Res., 40, D940-D946.
4. Webber, J. et al. (2013) Graph Databases. O'Reilly Media, Sebastopol.
5. Zhou, N.F. et al. (2010) Mode-directed tabling for dynamic programming, machine learning and constraint solving. In: Proceedings of the 22nd International Conference on Tools with Artificial Intelligence (ICTAI). pp. 213-218.