MatSAM : A Spatial Analysis Software to detect candidate loci for selection


 

SAM index

Documentation
Papers
Links
 
 
 

E-mail : stephane.joost[at]epfl.ch

Papers

  • 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, Vol.16, No 18, pp. 3955–3969.
  • 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, 8:957–960.
  • Pariset, L., Joost, S., Ajmone Marsan, P., Valentini, A. (2009) Landscape genomics and biased FST approaches reveal Single Nucleotide Polymorphisms under selection in goat breeds of North-East Mediterranean, BMC Genetics, 10:7.

 

Resp. : Prof. P. Ajmone Marsan, Institute of Zootechnics, UCSC, Piacenza, Italy
Ed. : S.Joost,
Institute of Zootechnics, UCSC, Piacenza, Italy
Last update of this page : 09.11.2009