Back
Machine Learning Algorithms for Polymorphism Detection
Analyzing resequencing array data using machine learning, we obtain a genome-wide inventory of polymorphisms in 20 wild strains of Arabidopsis thaliana, including 750,000 single nucleotide poly- morphisms (SNPs) and thousands of highly polymorphic regions and deletions. We thus provide an unprecedented resource for the study of natural variation in plants.
@talk{4112, title = {Machine Learning Algorithms for Polymorphism Detection}, abstract = {Analyzing resequencing array data using machine learning, we obtain a genome-wide inventory of polymorphisms in 20 wild strains of Arabidopsis thaliana, including 750,000 single nucleotide poly- morphisms (SNPs) and thousands of highly polymorphic regions and deletions. We thus provide an unprecedented resource for the study of natural variation in plants.}, organization = {Max-Planck-Gesellschaft}, school = {Biologische Kybernetik}, month = aug, year = {2006}, slug = {4112}, author = {Schweikert, G. and Zeller, G. and Clark, R. and Ossowski, S. and Warthmann, N. and Shinn, P. and Frazer, K. and Ecker, J. and Huson, D. and Weigel, D. and Sch{\"o}lkopf, B. and R{\"a}tsch, G.}, month_numeric = {8} }