Machine Learning Algorithms for Polymorphism Detection

Zeller, G; Schweikert, G; Clark, R; Ossowski, S; Warthmann, N; Shinn, P; Frazer, K; Ecker, J; Huson, D; Weigel, D; Schölkopf, B; Rätsch, G

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Machine Learning Algorithms for Polymorphism Detection

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Zeller, G
Rätsch Group, Friedrich Miescher Laboratory, Max Planck Society;

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Rätsch, G
Rätsch Group, Friedrich Miescher Laboratory, Max Planck Society;

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https://www.iscb.org/cms_addon/conferences/ismb2006/archive/ismb2006.cbi.cnptia.embrapa.br/posters_list.php
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Zeller, G., Schweikert, G., Clark, R., Ossowski, S., Warthmann, N., Shinn, P., Frazer, K., Ecker, J., Huson, D., Weigel, D., Schölkopf, B., & Rätsch, G. (2006). Machine Learning Algorithms for Polymorphism Detection. Poster presented at 14th International Conference on Intelligent Systems for Molecular Biology (ISMB 2006), Fortaleza, Brazil.

引用: https://hdl.handle.net/21.11116/0000-000A-7D0B-F

要旨

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.