Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Nicole Dusch"'
Publikováno v:
Dermato, Vol 2, Iss 4, Pp 121-124 (2022)
Dear Editors: Pityriasis lichenoides-like mycosis fungoides (MF) is a rare variant of MF, presenting clinical findings of pityriasis lichenoides (PL) but histological features of MF [...]
Externí odkaz:
https://doaj.org/article/1a9523aa9b8d43a581430b124e483260
Autor:
Eberhard Busker, Nicole Dusch, Michael Bott, Andreas Burkovski, Alfred Pühler, Anne K. Bendt, Reinhard Krämer, Walter Pfefferle, Steffen Schaffer, Christian Baumann, Jörn Kalinowski, Thomas Hermann, Hermann Sahm
Publikováno v:
ELECTROPHORESIS. 22:1712-1723
By the use of different Corynebacterium glutamicum strains move than 1.4 million tons of amino acids, mainly L-glutamate and L-lysine, are produced per year. A project was started recently to elucidate the complete DNA sequence of this bacterium. In
Autor:
Brigitte Bathe, Iris Wiegräbe, Alice C. McHardy, Nicole Dusch, Volker F. Wendisch, Jörn Kalinowski, Lothar Eggeling, Bettina Möckel, Reinhard Krämer, Bernhard J. Eikmanns, Lars Gaigalat, Klaus Huthmacher, Andreas Tauch, Oliver Rupp, Michael Hartmann, Daniel Rey, Nicole Bischoff, Daniela Bartels, Alexander Goesmann, Christian Rückert, Folker Meyer, Alfred Pühler, Hermann Sahm, Andreas Burkovski, Walter Pfefferle, Michael Bott, Burkhard Linke
Publikováno v:
Journal of biotechnology. 104(1-3)
The complete genomic sequence of Corynebacterium glutainicum ATCC 13032, well-known in industry for the production of amino acids, e.g. of L-glutamate and L-lysine was determined. The C glutamician genome was found to consist of a single circular chr
The Corynebacterium glutamicum panD gene was identified by functional complementation of an Escherichia coli panD mutant strain. Sequence analysis revealed that the coding region of panD comprises 411 bp and specifies a protein of 136 amino acid resi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79efa61d5919f964da82f1620c2ee45b
https://europepmc.org/articles/PMC91217/
https://europepmc.org/articles/PMC91217/
Autor:
Jean Le’Clerc Arrastia, Nick Heilenkötter, Daniel Otero Baguer, Lena Hauberg-Lotte, Tobias Boskamp, Sonja Hetzer, Nicole Duschner, Jörg Schaller, Peter Maass
Publikováno v:
Journal of Imaging, Vol 7, Iss 4, p 71 (2021)
Accurate and fast assessment of resection margins is an essential part of a dermatopathologist’s clinical routine. In this work, we successfully develop a deep learning method to assist the dermatopathologists by marking critical regions that have
Externí odkaz:
https://doaj.org/article/4ce6abaf685c4ae9b692fe1cc3c512f4