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23122 Balogh, G., Bernhart, S.H., Stadler, P.F., Schor, J. (2020):
A probabilistic version of Sankoff’s maximum parsimony algorithm
J. Bioinform. Comput. Biol. 18 (1), art. 2050004
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21108 Bauer, M., Hackermüller, J., Schor, J., Schreiber, S., Fink, B., Pierzchalski, A., Herberth, G. (2019):
Specific induction of the unique GPR15 expression in heterogeneous blood lymphocytes by tobacco smoking
Biomarkers 24 (3), 217 - 224
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22778 Canzler, S., Schor, J., Busch, W., Schubert, K., Rolle-Kampczyk, U.E., Seitz, H., Kamp, H., von Bergen, M., Buesen, R., Hackermüller, J. (2020):
Prospects and challenges of multi‑omics data integration in toxicology
Arch. Toxicol. 94 (2), 371 - 388
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20004 Canzler, S., Stadler, P.F., Schor, J. (2018):
The fungal snoRNAome
RNA 24 (3), 342 - 360
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22544 Kämpf, C., Specht, M., Scholz, A., Puppel, S.-H., Doose, G., Reiche, K., Schor, J., Hackermüller, J. (2019):
uap: reproducible and robust HTS data analysis
BMC Bioinformatics 20 , art. 664
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23751 Schubert, K., Karkossa, I., Schor, J., Engelmann, B., Steinheuer, L.M., Bruns, T., Rolle-Kampczyk, U., Hackermüller, J., von Bergen, M. (2021):
A multi-omics analysis of mucosal-associated-invariant T cells reveals key drivers of distinct modes of activation
Front. Immunol. 12 , art. 616967
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22287 Schubert, K., Schor, J., Kratochvil, I., Hackermüller, J., von Bergen, M. (2019):
Multi-omics profiling of MAIT cells reveals specific patterns of antigen-dependent and -independent activation
Eur. J. Immunol. 49 (Suppl. 1), 141
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24590 Völkner, M., Kurth, T., Schor, J., Ebner, L.J.A., Bardtke, L., Kavak, C., Hackermüller, J., Karl, M.O. (2021):
Mouse retinal organoid growth and maintenance in longer-term culture
Front. Cell. Dev. Biol. 9 , art. 645704
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