Dr. Stèphane Joost
Lab of Geographic Information Systems (LASIG), EPFL, Lausanne
stephane.joost@epfl.ch
Professional Preparation
Research and Teaching Associate, Laboratory of Geographic Information Systems (LASIG), EPFL. 2009-present
Scientist, spatial analysis and geo-visualization, LASIG, EPFL. 2008
Lecturer, spatial analysis, Faculty of Geosciences, University of Lausanne. 2007
Postdoc, Institute of Zootechnics, University of Piacenza (UCSC), Italy. 2006
PhD Student, LASIG, EPFL, Switzerland. 2002
Research and teaching assistant, thematic mapping and GIS, Department of Geography, University of Geneva (Profs Antoine Bailly and Charles Hussy). 2000
Research and teaching assistant, transportation geography, Institute of Geography (IGUL), University of Lausanne (Prof Laurent Bridel). 1998
Computer center (CI), University of Lausanne (Resp. Jacques Guélat). 1997
Research and teaching assistant, Computer science and mathematics methods (IMM), University of Lausanne (Prof Eric Keller). 1995
Selected Publications
Duruz, S., Flury, C., Matasci, G., Widmer., I., Joerin, F., Joost., S. (accepted) A WebGIS platform for the monitoring 1 of
Farm Animal Genetic Resources (GENMON), Plos One.
Tyrrell, J., Wood, A.R., Ames, R.M., Yaghootkar, H., Beaumont, R.N., Jones, S.E., Tuke, M.A., Ruth, K.S., Freathy, R.M., Smith, G.D., Joost, S., Guessous, I., Murray, A., Strachan, D.P., Kutalik, Z., Weedon, M.N. & Frayling, T.M. (2017). Gene–obesogenic environment interactions in the UK Biobank study. International Journal of Epidemiology.
Unternährer, J., Moret, S., Joost, S., and Maréchal, F. (2017). Spatial clustering for district heating integration in urban energy systems: Application to geothermal energy. Applied Energy 190, 749–763. doi:10.1016/j.apenergy.
Talbot, B., Chen, T.-W., Zimmerman, S., Joost, S., Eckert, A. J., Crow, T. M., et al. (2017). Combining Genotype, Phenotype, and Environment to Infer Potential Candidate Genes. J Hered.
Stucki, S., Orozco-terWengel, P., Forester, B.R., Duruz, S., Colli, L., Masembe, C., Negrini, R., Landguth, E., Jones, M.R., The NEXTGEN Consortium, Bruford, M.W., Taberlet, P. & Joost, S. (2016). High performance computation of landscape genomic models including local indicators of spatial association. Molecular Ecology Resources.
Joost, S., Duruz, S., Marques-Vidal, P., Bochud, M., Stringhini, S., Paccaud, F., Gaspoz, J.-M., Theler, J.-M., Chételat, J., Waeber, G., Vollenweider, P. & Guessous, I. (2016). Persistent spatial clusters of high body mass index in a Swiss urban population as revealed by the 5-year GeoCoLaus longitudinal study. BMJ Open.
Forester, B.R., Jones, M.R., Joost, S., Landguth, E.L. & Lasky, J.R. (2016). Detecting spatial genetic signatures of local adaptation in heterogeneous
landscapes. Molecular Ecology.
Leempoel, K., Parisod, C., Geiser, C., Daprà, L., Vittoz, P., and Joost, S. (2015). Very high-resolution digital elevation models: are multi-scale derived variables ecologically relevant? Methods Ecol Evol.
Lv, F.-H., Agha, S., Kantanen, J., Colli, L., Stucki, S., Kijas, J.W., Joost, S., Li, M.-H. & Marsan, P.A. (2014) Adaptations to Climate-Mediated Selective Pressures in Sheep. Molecular Biology and Evolution
*Colli, L., *Joost, S., R. Negrini, L. Nicoloso and P. Crepaldi et al. (2014) Assessing the spatial dependence of adaptive loci in 43 European and Western Asian goat breeds using AFLP markers, Plos One.
Jones, M.R., B. R. Forester, A. I. Teufel, R. V. Adams, D. N. Anstett, B.A. Goodrich, E. L. Landguth, S. Joost, and S. Manel (2013) Integrating landscape genomics and spatially explicit approaches to detect loci under selection in clinal populations, Evolution.
Joost, S., S. Vuilleumier, J.D. Jensen, S. Schoville, K. Leempoel, S. Stucki, C. Melo de Lima, J. Rolland, I. Widmer, and S. Manel (2013) Uncovering the genetic basis of adaptive change: on the intersection of landscape genomics and theoretical population genetics, Molecular Ecology.
Manel, S., Joost, S., Epperson, B.K., Holderegger, R., Storfer, A., Rosenberg, M.S., Scribner, K., Bonin, A., Fortin, M.-J. (2010) Perspectives on the use of landscape genetics to detect genetic adaptive variation in the field, Molecular Ecology.
Parisod, C., Joost, S. (2010) Divergent selection in trailing versus leading edge populations of Biscutella laevigata, Annals of Botany.
Pereira, F., Queirós, S., Gusmão, L., Nijman, I.J., Cuppen, E., Lenstra, J.A., Econogene Consortium, Davis, S.J.M., Nejmeddine, F. & Amorim, A. (2009) Tracing the History of Goat Pastoralism: New Clues from Mitochondrial and Y Chromosome DNA in North Africa. Molecular Biology and Evolution.
Joost, S., Kalbermatten, M., Bonin, A. (2008) Spatial Analysis Method (SAM): a software tool combining molecular and environmental data to identify candidate loci for selection, Molecular Ecology Resources.
Joost, S., Bonin, A., Bruford, M.W., Després, L., Conord, C., Erhardt, G., Taberlet, P., (2007) A Spatial Analysis Method (SAM) to detect candidate loci for selection: towards a landscape genomics approach to adaptation, Molecular Ecology.
Books
Balkenhol, N., Dudaniec, R., Krutovsky, V., Johnson, J.S., Cairns, D.M., Segelbacher, G., Selkoe, K., von der Heyden, S., Selmoni, O., Joost S (in press) Landscape genomics: Analyzing the effects of environmental heterogeneity on population genomics, In Population Genomics Concepts, Strategies and Approaches (Ed Rajora O)
Joost, S., Bruford, M.W., Curik, I., Kantanen, J, Lenstra, J.A., Soelkner, J., Ajmone Marsan, P., Andersson, G. (2015) Advances in Farm Animal Genomic Resources, Frontiers in Genetics
Ertz, O., Tonini, M., Joost, S. (2012) Proceedings of The Open Source Geospatial Research and Education Symposium (OGRS), Yverdon-les-Bains, Switzerland, OGRS 2.
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