An inter-laboratory study characterizes the impact of bioinformatic approaches on genome-based cluster detection for foodborne bacterial pathogens.

Forth LF, Malorny B, Bönn M, Brinks E, Denay G, Deneke C, El-Adawy H, Fischer J, Fuchs J, Hiller E, Bretschneider N, Kleta S, Lüth S, Schultze T, Petersen H, Projahn M, Schäfers C, Stingl K, Stroehlein AJ, Uelze L, Szabo K, Wöhlke A, Linde J

Open source

DOI
10.3389/fmicb.2025.1629731
Published
2025
Container
Frontiers in microbiology
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3389/fmicb.2025.1629731,
  title = {An inter-laboratory study characterizes the impact of bioinformatic approaches on genome-based cluster detection for foodborne bacterial pathogens.},
  author = {Forth LF and Malorny B and Bönn M and Brinks E and Denay G and Deneke C and El-Adawy H and Fischer J and Fuchs J and Hiller E and Bretschneider N and Kleta S and Lüth S and Schultze T and Petersen H and Projahn M and Schäfers C and Stingl K and Stroehlein AJ and Uelze L and Szabo K and Wöhlke A and Linde J},
  year = {2025},
  journal = {Frontiers in microbiology},
  doi = {10.3389/fmicb.2025.1629731},
  url = {https://doi.org/10.3389/fmicb.2025.1629731}
}

RIS

TY  - JOUR
TI  - An inter-laboratory study characterizes the impact of bioinformatic approaches on genome-based cluster detection for foodborne bacterial pathogens.
AU  - Forth LF
AU  - Malorny B
AU  - Bönn M
AU  - Brinks E
AU  - Denay G
AU  - Deneke C
AU  - El-Adawy H
AU  - Fischer J
AU  - Fuchs J
AU  - Hiller E
AU  - Bretschneider N
AU  - Kleta S
AU  - Lüth S
AU  - Schultze T
AU  - Petersen H
AU  - Projahn M
AU  - Schäfers C
AU  - Stingl K
AU  - Stroehlein AJ
AU  - Uelze L
AU  - Szabo K
AU  - Wöhlke A
AU  - Linde J
PY  - 2025
JO  - Frontiers in microbiology
DO  - 10.3389/fmicb.2025.1629731
UR  - https://doi.org/10.3389/fmicb.2025.1629731
ER  - 

APA

LF, F., B, M., M, B., E, B., G, D., C, D., H, E., J, F., J, F., E, H., N, B., S, K., S, L., T, S., H, P., M, P., C, S., K, S., AJ, S., L, U., K, S., A, W., & J, L. (2025). An inter-laboratory study characterizes the impact of bioinformatic approaches on genome-based cluster detection for foodborne bacterial pathogens.. Frontiers in microbiology. https://doi.org/10.3389/fmicb.2025.1629731

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