20 Publikationen

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  • [20]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2946303
    Bohnenkämper, L., et al., 2021. Computing the rearrangement distance of natural genomes. Journal of Computational Biology, 28(4), p 410-431.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [19]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2937712 OA
    Rubert, D., et al., 2020. Analysis of local genome rearrangement improves resolution of ancestral genomic maps in plants. BMC Genomics, 21(Suppl. 2): 273.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [18]
    2020 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2943733
    Nützmann, H.-W., et al., 2020. Active and repressed biosynthetic gene clusters have spatially distinct chromosome states. Proceedings of the National Academy of Sciences, : 201920474.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [17]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2939598
    Sevillya, G., et al., 2020. Horizontal Gene Transfer Phylogenetics: A Random Walk Approach. Molecular Biology and Evolution, 37(5), p 1470–1479.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [16]
    2020 | Preprint | Veröffentlicht | PUB-ID: 2939861
    Bohnenkämper, L., et al., 2020. Computing the rearrangement distance of natural genomes. arXiv:2001.02139.
    PUB | Download (ext.) | arXiv
     
  • [15]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2939729
    Bohnenkämper, L., et al., 2020. Computing the rearrangement distance of natural genomes. In Proceedings of RECOMB 2020. LNBI. no.12074 pp. 3-18.
    PUB | DOI
     
  • [14]
    2019 | Datenpublikation | PUB-ID: 2936848 OA
    Dörr, D., & Rubert, D., 2019. Supplementary Data for "Analysis of local genome rearrangement improves resolution of ancestral genomic maps in plants", Bielefeld University.
    PUB | Dateien verfügbar | DOI
     
  • [13]
    2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2932883
    Dörr, D., & Stoye, J., 2019. A Perspective on Comparative and Functional Genomics. In T. Warnow, ed. Bioinformatics and Phylogenetics. Computational Biology. no.29 Cham: Springer , pp. 361-372.
    PUB | DOI
     
  • [12]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2919005 OA
    Schulz, T., Stoye, J., & Dörr, D., 2018. GraphTeams. A method for discovering spatial gene clusters in Hi-C sequencing data. BMC Genomics, 19(Suppl. 5): 308.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [11]
    2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2913922
    Dörr, D., Feijão, P., & Stoye, J., 2018. Family-Free Genome Comparison. In J. C. Setubal, P. Stadler, & J. Stoye, eds. Comparative Genomics: Methods and Protocols. Methods in Molecular Biology. no.1704 New York: Springer Verlag, pp. 331-342.
    PUB | DOI
     
  • [10]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2911814
    Dörr, D., et al., 2017. The gene family-free median of three. Algorithms for Molecular Biology, 12(1): 14.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [9]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2912492
    Luhmann, N., Dörr, D., & Chauve, C., 2017. Comparative scaffolding and gap filling of ancient bacterial genomes applied to two ancient Yersinia pestis genomes. Microbial Genomics, 3(9), p e000123.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [8]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913016
    Schulz, T., Stoye, J., & Dörr, D., 2017. Finding Teams in Graphs and its Application to Spatial Gene Cluster Discovery. In Proceedings of RECOMB-CG 2017. Lecture Notes in Bioinformatics. no.1704 Berlin: Springer Verlag, pp. 197-212.
    PUB | DOI
     
  • [7]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909967
    Dörr, D., et al., 2017. New Genome Similarity Measures based on Conserved Gene Adjacencies. Journal of Computational Biology, 24(6), p 616-634.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [6]
    2016 | Bielefelder E-Dissertation | PUB-ID: 2902049 OA
    Dörr, D., 2016. Gene family-free genome comparison, Bielefeld: Universität Bielefeld.
    PUB | PDF
     
  • [5]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2685362 OA
    Lechner, M., et al., 2014. Orthology Detection Combining Clustering and Synteny for Very Large Datasets. PLoS ONE, 9(8): e105015.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [4]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2687033 OA
    Dörr, D., et al., 2014. Identifying Gene Clusters by Discovering Common Intervals in Indeterminate Strings. BMC Genomics, 15(Suppl. 6: Proc. of RECOMB-CG 2014): S2.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [3]
    2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2611648
    Dias Vieira Braga, M., et al., 2013. The Potential of Family-Free Genome Comparison. In C. Chauve, N. El-Mabrouk, & E. Tannier, eds. Models and Algorithms for Genome Evolution. Computational Biology Series. no.19 London: Springer Verlag, pp. 287-307.
    PUB | DOI
     
  • [2]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2512642 OA
    Dörr, D., Thévenin, A., & Stoye, J., 2012. Gene family assignment-free comparative genomics. BMC Bioinformatics, 13(Suppl 19: Proc. of RECOMB-CG 2012): S3.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [1]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2560353 OA
    Dörr, D., et al., 2012. Stochastic errors vs. modeling errors in distance based phylogenetic reconstructions. Algorithms for Molecular Biology, 7(1): 22.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     

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