Statistical methods in spatial genetics Export

@article{citeulike:6070062, abstract = {The joint analysis of spatial and genetic data is rapidly becoming the norm in population genetics. More and more studies explicitly describe and quantify the spatial organization of genetic variation and try to relate it to underlying ecological processes. As it has become increasingly difficult to keep abreast with the latest methodological developments, we review the statistical toolbox available to analyse population genetic data in a spatially explicit framework. We mostly focus on statistical concepts but also discuss practical aspects of the analytical methods, highlighting not only the potential of various approaches but also methodological pitfalls.}, address = {Department of Informatics and Mathematical Modelling, Technical University of Denmark, Copenhagen, Denmark, ; Dpartement Systmatique et volution, Musum National d'Histoire Naturelle, UMR7205 MNHN/CNRS, Paris, France, ; Dpartement cologie et Gestion de la Biodiversit, Musum National d'Histoire Naturelle, UMR 7179 MNHN/CNRS, Brunoy, France, ; Department of Animal \& Plant Sciences, University of Sheffield, Sheffield, UK}, author = {Gilles Guillo, T. and Rapha\"{e}l Lebloi, S. and Aur\'{e}lie Coulo, N. and Frantz, Alain C.}, citeulike-article-id = {6070062}, citeulike-linkout-0 = {http://dx.doi.org/10.1111/j.1365-294X.2009.04410.x}, citeulike-linkout-1 = {http://www3.interscience.wiley.com/cgi-bin/abstract/122667213/ABSTRACT}, doi = {10.1111/j.1365-294X.2009.04410.x}, issn = {1365-294X}, journal = {Molecular Ecology}, keywords = {ecology, popgen, review}, number = {23}, pages = {4734--4756}, posted-at = {2009-11-04 16:21:33}, priority = {2}, title = {Statistical methods in spatial genetics}, url = {http://dx.doi.org/10.1111/j.1365-294X.2009.04410.x}, volume = {18}, year = {2009} }

TY - JOUR ID - citeulike:6070062 L3 - citeulike-article-id:6070062 N2 - The joint analysis of spatial and genetic data is rapidly becoming the norm in population genetics. More and more studies explicitly describe and quantify the spatial organization of genetic variation and try to relate it to underlying ecological processes. As it has become increasingly difficult to keep abreast with the latest methodological developments, we review the statistical toolbox available to analyse population genetic data in a spatially explicit framework. We mostly focus on statistical concepts but also discuss practical aspects of the analytical methods, highlighting not only the potential of various approaches but also methodological pitfalls. IS - 23 JF - Molecular Ecology SN - 1365-294X AD - Department of Informatics and Mathematical Modelling, Technical University of Denmark, Copenhagen, Denmark, ; Dpartement Systmatique et volution, Musum National d'Histoire Naturelle, UMR7205 MNHN/CNRS, Paris, France, ; Dpartement cologie et Gestion de la Biodiversit, Musum National d'Histoire Naturelle, UMR 7179 MNHN/CNRS, Brunoy, France, ; Department of Animal & Plant Sciences, University of Sheffield, Sheffield, UK EP - 4756 TI - Statistical methods in spatial genetics VL - 18 SP - 4734 KW - ecology KW - popgen KW - review AU - Gilles Guillo, T AU - Raphaël Lebloi, S AU - Aurélie Coulo, N AU - Frantz, Alain PY - 2009/// UR - http://dx.doi.org/10.1111/j.1365-294X.2009.04410.x ER -