Empirical Inference

Machine Learning Algorithms for Polymorphism Detection

2006

Talk

ei


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.

Author(s): 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 Schölkopf, B. and Rätsch, G.
Year: 2006
Month: August
Day: 0

Department(s): Empirical Inference
Bibtex Type: Talk (talk)

Digital: 0
Event Name: 2nd ISCB Student Council Symposium
Event Place: Fortaleza, Brazil
Language: en
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik

Links: Web

BibTex

@talk{4112,
  title = {Machine Learning Algorithms for Polymorphism Detection},
  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.},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  month = aug,
  year = {2006},
  doi = {},
  month_numeric = {8}
}