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Génomique et bio-informatique

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Abstract
Genomics projects produce huge amounts of data of different kinds whose interpretation stimulated the development of bioinformatics, a recent discipline based on theoretical aspects of informatics and mathematics, as well as on biology. Bioinformatics enables the staring and organizing of genome-wide molecular data, provides tools to analyze them and to convert raw data into biological knowledge. We illustrate how the combination of data management and of sequence analysis tools has already brought fruitful perspectives for gene discovery.
Keywords
data mining, sequence analysis, databases, bioinformatics, genomics

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Citation

Please use this url to cite or link to this publication:

MLA
Pavy, Nathalie, Catherine Mathé, Stephane Rombauts, et al. “Génomique Et Bio-informatique.” OCL-OLEAGINEUX CORPS GRAS LIPIDES 6.2 (1999): 148–154. Print.
APA
Pavy, N., Mathé, C., Rombauts, S., & Rouzé, P. (1999). Génomique et bio-informatique. OCL-OLEAGINEUX CORPS GRAS LIPIDES, 6(2), 148–154.
Chicago author-date
Pavy, Nathalie, Catherine Mathé, Stephane Rombauts, and Pierre Rouzé. 1999. “Génomique Et Bio-informatique.” Ocl-oleagineux Corps Gras Lipides 6 (2): 148–154.
Chicago author-date (all authors)
Pavy, Nathalie, Catherine Mathé, Stephane Rombauts, and Pierre Rouzé. 1999. “Génomique Et Bio-informatique.” Ocl-oleagineux Corps Gras Lipides 6 (2): 148–154.
Vancouver
1.
Pavy N, Mathé C, Rombauts S, Rouzé P. Génomique et bio-informatique. OCL-OLEAGINEUX CORPS GRAS LIPIDES. 1999;6(2):148–54.
IEEE
[1]
N. Pavy, C. Mathé, S. Rombauts, and P. Rouzé, “Génomique et bio-informatique,” OCL-OLEAGINEUX CORPS GRAS LIPIDES, vol. 6, no. 2, pp. 148–154, 1999.
@article{112704,
  abstract     = {Genomics projects produce huge amounts of data of different kinds whose interpretation stimulated the development of bioinformatics, a recent discipline based on theoretical aspects of informatics and mathematics, as well as on biology. Bioinformatics enables the staring and organizing of genome-wide molecular data, provides tools to analyze them and to convert raw data into biological knowledge. We illustrate how the combination of data management and of sequence analysis tools has already brought fruitful perspectives for gene discovery.},
  author       = {Pavy, Nathalie and Mathé, Catherine and Rombauts, Stephane and Rouzé, Pierre},
  issn         = {1258-8210},
  journal      = {OCL-OLEAGINEUX CORPS GRAS LIPIDES},
  keywords     = {data mining,sequence analysis,databases,bioinformatics,genomics},
  language     = {fre},
  number       = {2},
  pages        = {148--154},
  title        = {Génomique et bio-informatique},
  volume       = {6},
  year         = {1999},
}

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