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A Novel Approach for Multi-Domain and Multi-Gene Family Identification Provides Insights into Evolutionary Dynamics of Disease Resistance Genes in Core Eudicot Plants
Johannes A. Hofberger, Beifei Zhou, Haibao Tang, Jonathan D. G. Jones, M. Eric Schranz
doi: https://doi.org/10.1101/002766
Johannes A. Hofberger
1Wageningen University & Research Center, Droevendaalsesteeg 1, 6708 PB Wageningen, Gelderland, The Netherlands
2Chinese Academy of Sciences/Max Planck Partner Institute for Computational Biology, 320 Yueyang Road, Shanghai 200031, PR China
Beifei Zhou
2Chinese Academy of Sciences/Max Planck Partner Institute for Computational Biology, 320 Yueyang Road, Shanghai 200031, PR China
3Heidelberg Institute for Theoretical Studies-HITS, Schloss-Wolfsbrunnenweg 35, 69118 Heidelberg, Baden-Württemberg, Germany
Haibao Tang
4Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian, PR China
5J. Craig Venter Institute, 4120 Torrey Pines Road, La Jolla, CA 92037, USA
Jonathan D. G. Jones
6The Sainsbury Laboratory, Norwich Research Park, Colney Lane, Norwich, Norfolk NR4 7UH, UK
M. Eric Schranz
1Wageningen University & Research Center, Droevendaalsesteeg 1, 6708 PB Wageningen, Gelderland, The Netherlands
Article usage
Posted February 17, 2014.
A Novel Approach for Multi-Domain and Multi-Gene Family Identification Provides Insights into Evolutionary Dynamics of Disease Resistance Genes in Core Eudicot Plants
Johannes A. Hofberger, Beifei Zhou, Haibao Tang, Jonathan D. G. Jones, M. Eric Schranz
bioRxiv 002766; doi: https://doi.org/10.1101/002766
A Novel Approach for Multi-Domain and Multi-Gene Family Identification Provides Insights into Evolutionary Dynamics of Disease Resistance Genes in Core Eudicot Plants
Johannes A. Hofberger, Beifei Zhou, Haibao Tang, Jonathan D. G. Jones, M. Eric Schranz
bioRxiv 002766; doi: https://doi.org/10.1101/002766
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