Prof. Dr. Burkhard Morgenstern

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  • 2011 | Journal Article
    ​ ​Identification of Novel Plant Peroxisomal Targeting Signals by a Combination of Machine Learning Methods and in Vivo Subcellular Targeting Analyses​
    Lingner, T.; Kataya, A. R.; Antonicelli, G. E.; Benichou, A.; Nilssen, K.; Chen, X.-Y. & Siemsen, T. et al.​ (2011) 
    The Plant Cell, 23(4) pp. 1556​-1572​.​ DOI: https://doi.org/10.1105/tpc.111.084095 
    ​Details  DOI  PMID  PMC  WoS 
  • 2009 | Journal Article | Research Paper
    ​ ​AUGUSTUS at MediGRID: Adaption of a bioinformatics application to grid computing for efficient genome analysis​
    Sommerfeld, D.; Lingner, T.; Stanke, M.; Morgenstern, B.   & Richter, H.​ (2009) 
    Future Generation Computer Systems, 25(3) pp. 337​-345​.​ DOI: https://doi.org/10.1016/j.future.2008.05.010 
    ​Details  DOI  WoS 
  • 2008 | Journal Article | 
    ​ ​Metabolite-based clustering and visualization of mass spectrometry data using one-dimensional self-organizing maps​
    Meinicke, P. ; Lingner, T.; Kaever, A.; Feussner, K.; Goebel, C.; Feussner, I. & Karlovsky, P.  et al.​ (2008) 
    Algorithms for Molecular Biology, 3 art. 9​.​ DOI: https://doi.org/10.1186/1748-7188-3-9 
    ​Details  DOI  PMID  PMC  WoS 
  • 2008 | Journal Article | 
    ​ ​Gene prediction in metagenomic fragments: A large scale machine learning approach​
    Hoff, K. J.; Tech, M. ; Lingner, T.; Daniel, R.; Morgenstern, B.   & Meinicke, P. ​ (2008) 
    BMC Bioinformatics, 9 art. 217​.​ DOI: https://doi.org/10.1186/1471-2105-9-217 
    ​Details  DOI  PMID  PMC  WoS 

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https://publications.goettingen-research-online.de URI: /cris/rp/rp34532
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