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GenoLink: A graph-based querying and browsing system for investigating the function of genes and proteins
- Source :
- BMC Bioinformatics, BMC Bioinformatics, BioMed Central, 2006, 7 (1), pp.21. ⟨10.1186/1471-2105-7-21⟩, BMC Bioinformatics, Vol 7, Iss 1, p 21 (2006), BMC Bioinformatics, 2006, 7 (1), pp.21. ⟨10.1186/1471-2105-7-21⟩
- Publication Year :
- 2006
- Publisher :
- HAL CCSD, 2006.
-
Abstract
- Background A large variety of biological data can be represented by graphs. These graphs can be constructed from heterogeneous data coming from genomic and post-genomic technologies, but there is still need for tools aiming at exploring and analysing such graphs. This paper describes GenoLink, a software platform for the graphical querying and exploration of graphs. Results GenoLink provides a generic framework for representing and querying data graphs. This framework provides a graph data structure, a graph query engine, allowing to retrieve sub-graphs from the entire data graph, and several graphical interfaces to express such queries and to further explore their results. A query consists in a graph pattern with constraints attached to the vertices and edges. A query result is the set of all sub-graphs of the entire data graph that are isomorphic to the pattern and satisfy the constraints. The graph data structure does not rely upon any particular data model but can dynamically accommodate for any user-supplied data model. However, for genomic and post-genomic applications, we provide a default data model and several parsers for the most popular data sources. GenoLink does not require any programming skill since all operations on graphs and the analysis of the results can be carried out graphically through several dedicated graphical interfaces. Conclusion GenoLink is a generic and interactive tool allowing biologists to graphically explore various sources of information. GenoLink is distributed either as a standalone application or as a component of the Genostar/Iogma platform. Both distributions are free for academic research and teaching purposes and can be requested at academy@genostar.com. A commercial licence form can be obtained for profit company at info@genostar.com. See also http://www.genostar.org.
- Subjects :
- Theoretical computer science
Computer science
[SDV]Life Sciences [q-bio]
Gene Expression
02 engineering and technology
computer.software_genre
lcsh:Computer applications to medicine. Medical informatics
Biochemistry
Computer graphics
User-Computer Interface
03 medical and health sciences
Software
Text mining
Structural Biology
020204 information systems
[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN]
Databases, Genetic
Computer Graphics
0202 electrical engineering, electronic engineering, information engineering
Computer Simulation
[INFO.INFO-BT]Computer Science [cs]/Biotechnology
Molecular Biology
lcsh:QH301-705.5
ComputingMilieux_MISCELLANEOUS
030304 developmental biology
0303 health sciences
Biological data
Parsing
business.industry
Applied Mathematics
Graph based
Proteins
[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]
Graph
Computer Science Applications
Vertex (geometry)
Genes
Data model
lcsh:Biology (General)
Database Management Systems
Graph (abstract data type)
lcsh:R858-859.7
Isomorphism
[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]
business
Graph operations
computer
Signal Transduction
Subjects
Details
- Language :
- English
- ISSN :
- 14712105
- Database :
- OpenAIRE
- Journal :
- BMC Bioinformatics, BMC Bioinformatics, BioMed Central, 2006, 7 (1), pp.21. ⟨10.1186/1471-2105-7-21⟩, BMC Bioinformatics, Vol 7, Iss 1, p 21 (2006), BMC Bioinformatics, 2006, 7 (1), pp.21. ⟨10.1186/1471-2105-7-21⟩
- Accession number :
- edsair.doi.dedup.....a3c25e1d96fb426506bd3fdff61e3004
- Full Text :
- https://doi.org/10.1186/1471-2105-7-21⟩