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BioGraphE: high-performance bionetwork analysis using the Biological Graph Environment
BACKGROUND: Graphs and networks are common analysis representations for biological systems. Many traditional graph algorithms such as k-clique, k-coloring, and subgraph matching have great potential as analysis techniques for newly available data in biology. Yet, as the amount of genomic and bionetw...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2008
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2423447/ https://www.ncbi.nlm.nih.gov/pubmed/18541059 http://dx.doi.org/10.1186/1471-2105-9-S6-S6 |