We are collaborating with several groups on additional analyses for understanding the extent of LD, genes/regions involved in domestication, and networks of stress responsive genes as well as breeding applications of the OryzaSNP data set:

1. Analysis of the dataset, its generation, structure and composition with regards to location and density of SNPs
2. The extent of LD and haplotype structure especially with regard to introgressions or indications of regions involved in domestication
3. Analysis of the dataset with regard to stress tolerance, especially gene networks and the structure of these networks along the genome (e.g. co-localization of coordinately expressed genes)
4. Application of the dataset to breeding, esp. its use for mapping and analysis of advanced breeding lines; development of a subset of SNPs useful for tracking introgressions

Hence, we kindly ask that you not publish whole-genome analyses on the OryzaSNP data without first consulting with the OryzaSNP Analysis Team.

OryzaSNP Analysis Team

TIGR/University of Michigan: C. Robin Buell , Kevin Childs

Colorado State University: Jan Leach , Rebecca Davidson

University of Tuebingen: Detlef Weigel , Richard Clark , Georg Zeller, Regina Bohnert, Gunnar Rätsch

Cornell University: Carlos Bustamante

New York University: Michael Purugganan

International Rice Research Institute:  Ken McNally, Hei Leung, Richard Bruskiewich, Victor Jun Ulat

Collaborators

Academia Sinica : Yue-Ie Hsing

China National Rice Research Institute: Wu Jianli

CIRAD: Claire Billot, Brigitte Courtois, Jean-Christophe Glaszmann, Emmanuel Guiderdoni

Cornell University: Susan McCouch

Huazhong Agricultural University: Qifa Zhang

Rural Development Administration, Korea: Yong-Jin Park

USDA : Anna McClung, Georgia Eizenga

Yale University: Xing Wang Deng