Emmanuel Prestat's Publications

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Refereed Journal Publications

  1. Prestat E., Rodrigues de Morais S., Vendrell J., Thollet A., Gautier C., Cohen P., and Aussem A. Learning the local Bayesian network structure around the ZNF217 oncogene in breast tumours. Computers in Biology and Medecine. In Press.
  2. Bælum, J., Prestat, E., David, M. M., Strobel, B. W., and Jacobsen, C. S. Modelling phenoxy acid herbicide mineralization and growth of microbial degraders in 15 soils monitored by quantitative real-time PCR of the functional tfdA gene. Applied and Environmental Microbiology. 2012
  3. Delmont, T. O., Malandain, C., Prestat, E., Larose, C., Monier, J.-M., Simonet, P. and Vogel, T. M. Metagenomic mining for microbiologists. The ISME Journal, 5(12), 18371843. 2012.
  4. Delmont, T. O., Prestat, E., Keegan, K. P., Faubladier, M., Robe, P., Clark, I. M., et al.. Structure, fluctuation and magnitude of a natural grassland soil metagenome. The ISME Journal. 2012
  5. Lombard, N., Prestat, E., Van Elsas, J. D. and Simonet, P. Soil-specific limitations for access and analysis of soil microbial communities by metagenomics. FEMS Microbi- ology Ecology, 78(1), 3149. 2011

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Journal Publications in Preparation

  1. Prestat E., Rodrigues de Morais S., Vendrell J., Thollet A., Gautier C., Cohen P.,and Aussem A. Learning the local Bayesian network structure around the ZNF217oncogene in breast tumours. BMC Bioinformatics. 2011. In revision.
  2. David M., Cecillon S., Prestat E., Jansson J. and Vogel T.M. The microbial ecology ofchlorinated solvent biodegradation. PNAS. 2011. Submitted.
  3. Prestat E., Delmont T.O. and Vogel T.M. A clustering approach to analyse unmappedmetagenomic sequences and to discover novel genes. Application to the UK Rotham-sted Park Grass Soil. In prep.
  4. Aussem A., Rodrigues de Morais, S. and Prestat E. Robust gene selection using Bayesiannetworks: Application to Breast Cancer. In prep.
  5. Delmont T.O., Prestat E., Bertels D., Robe P., Clark I.M., Keegan K., Pelletier E.,Hirsh P., Meyer F., Le Paslier D., Simonet P. and Vogel T.M. Fluctuation, Structure,and Magnitude of a Natural Prairie Soil Metagenome. In prep.

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Conference and Workshop Talks

  1. Prestat E., Delmont, T. and Vogel T.M. Using non-annotaded metagenomic sequencesto discover novel functions and genes, and to cluster communities. 2nd Annual Ar-gonne National Laboratory Soils Workshop, Argonne (IL), USA, October 8, 2010.
  2. Prestat E., Aussem A., Rodrigues de Morais, S. and Rome S. Robust gene selection frommicroarray data using Bayesian networks: Application to breast cancer and diabetesanalysis. Modgraph, JOBIM satellite meeting, Nantes, France, 8th of June, 2009.
  3. Prestat E. and Gautier C. Using bayesian networks in cancer research. Internationalconference on system science in health care, Lyon, France, 3rd of September, 2008.
  4. Prestat E. and Gautier C. Modeling pharmacogenomics data with Bayesian Networks.Workshop on Modeling of Genetic Regulatory and Metabolic Networks, Valparaiso,Chile, 28th of March, 2008.

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Conference and Workshop Posters

  1. Prestat E., Delmont, T. and Vogel T.M. Novel functions and gene discovery from non-annotated metagenomic sequences. ISME13, Seattle (WAS), USA, August, 2010.
  2. Prestat E. and Gautier C. Using bayesian networks in cancer research. Internationalconference on system science in health care, Lyon, France, 3rd of September, 2008.
  3. Prestat E., Oger C., Remenant B., Sanguin H., Grundmann G., Vogel T.M., GautierC. Interactive Microarray Data Management System. Cost Meeting, Lyon, France,November, 2005.
  4. Prestat E., Oger C., Remenant B., Sanguin H., Grundmann G., Vogel T.M., GautierC. Interactive Microarray Data Management System: A tool to help with the designand analysis of phylogenetic microarrays for the study of bacterial communities. 8thinternational symposium BAGECO, Lyon, France, June, 2005.

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Seminar

Prestat E. and Gautier C. Some bioinformatics tools for studying biodiversity. Uni-versidade federal de Mato Grosso do Sul, Campo Grande, Brazil, 30th of November,2006. ↑ Back to top