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    David Heckmann

    TitlePostdoctoral Scholar
    SchoolUniversity of California, San Diego
    DepartmentBioengineering
    Address9500 Gilman Drive #0412
    CA La Jolla 92093
    vCardDownload vCard

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      Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help.
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      1. Heckmann D, Schlüter U, Weber APM. Machine Learning Techniques for Predicting Crop Photosynthetic Capacity from Leaf Reflectance Spectra. Mol Plant. 2017 Jun 05; 10(6):878-890. PMID: 28461269.
        View in: PubMed
      2. Li Y, Heckmann D, Lercher MJ, Maurino VG. Combining genetic and evolutionary engineering to establish C4 metabolism in C3 plants. J Exp Bot. 2017 Jan; 68(2):117-125. PMID: 27660481.
        View in: PubMed
      3. Heckmann D. C4 photosynthesis evolution: the conditional Mt. Fuji. Curr Opin Plant Biol. 2016 Jun; 31:149-54. PMID: 27153468.
        View in: PubMed
      4. Heckmann D. Modelling metabolic evolution on phenotypic fitness landscapes: a case study on C4 photosynthesis. Biochem Soc Trans. 2015 Dec; 43(6):1172-6. PMID: 26614656.
        View in: PubMed
      5. Mallmann J, Heckmann D, Bräutigam A, Lercher MJ, Weber AP, Westhoff P, Gowik U. The role of photorespiration during the evolution of C4 photosynthesis in the genus Flaveria. Elife. 2014; 3:e02478. PMID: 24935935; PMCID: PMC4103682.
      6. Heckmann D, Schulze S, Denton A, Gowik U, Westhoff P, Weber AP, Lercher MJ. Predicting C4 photosynthesis evolution: modular, individually adaptive steps on a Mount Fuji fitness landscape. Cell. 2013 Jun 20; 153(7):1579-88. PMID: 23791184.
        View in: PubMed