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  Machine Learning Algorithms for Polymorphism Detection

Zeller, G., Schweikert, G., Clark, R., Ossowski, S., Warthmann, N., Shinn, P., et al. (2006). Machine Learning Algorithms for Polymorphism Detection. Poster presented at 14th International Conference on Intelligent Systems for Molecular Biology (ISMB 2006), Fortaleza, Brazil. Retrieved from http://www.iscbsc.org/scs2.htm.

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 Creators:
Zeller, G1, Author           
Schweikert, G2, 3, Author           
Clark, R4, Author
Ossowski, S4, Author
Warthmann, N4, Author
Shinn, P, Author
Frazer, K, Author
Ecker, J, Author
Huson, D, Author
Weigel, D4, Author
Schölkopf, B2, 3, Author           
Rätsch, G1, Author           
Affiliations:
1Friedrich Miescher Laboratory, Max Planck Society, Max-Planck-Ring 9, 72076 Tübingen, DE, ou_2575692              
2Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
3Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
4Max Planck Institute for Developmental Biology, Max Planck Society, Max-Planck-Ring 5, 72076 Tübingen, DE, ou_2421691              

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 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.

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 Dates: 2006-08
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: URI: http://www.iscbsc.org/scs2.htm
BibTex Citekey: 4112
 Degree: -

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Title: 14th International Conference on Intelligent Systems for Molecular Biology (ISMB 2006)
Place of Event: Fortaleza, Brazil
Start-/End Date: 2006-08-06 - 2006-08-10

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Title: 14th International Conference on Intelligent Systems for Molecular Biology (ISMB 2006)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: H-4 Start / End Page: - Identifier: -