Name
Abstract | ||
|---|---|---|
Genomic information shows some characteristics that make them very difficult to interpret and to exploit. Such data constitute an important factual resource (GenBank, SwissProt, GeneOntology, or Decrypthon…), are heterogeneous, huge in quantity, and are geographically distributed. They are also recorded in structured or semi-structured formats within public or private databanks. Nevertheless, genome knowledge could not be limited to DNA or protein annotated sequences. Indeed, there is a significant quantity of information relating to these genes, recorded in an unstructured format within millions publications (PubMed, Medline). This paper presents Genome3DExplorer, a new modeling and software solution to explore textual and factual genomic data based on adapted federator description language. Moreover, Genome3DExplorer offers us a user-friendly visualization of this information within an immersive environment. The visualization is based on a well-adapted graphical paradigm that automatically helps to build a graph-based representation. This solution allows biologist to explore suitably huge sets of genomic data, but it could be applied to other application fields. This kind of graphical exploration has the advantage to highlight some global topological characteristics, which are uneasily visible using traditional exploration tools. Finally, some results produced by Genome3DExplorer software on various sets of biological data, are presented. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.2481/dsj.4.189 | Data Science Journal |
DocType | Volume | Citations |
Journal | 4 | 0 |
PageRank | References | Authors |
0.34 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nicolas Ferey | 1 | 59 | 8.86 |
| Pierre-emmanuel Gros | 2 | 12 | 2.99 |
| Joan Hérisson | 3 | 37 | 6.62 |
| Rachid Gherbi | 4 | 63 | 16.74 |