Kunath, B., Hickl, O., Teixeira Queiros, P., Martin-Gallausiaux, C., Lebrun, L., Halder, R., Laczny, C. C., Schmidt, T. S., Hayward, M., Becher, D., Heintz-Buschart, A., de Beaufort, C., Bork, P., May, P., & Wilmes, P. (2022). Alterations of oral microbiota and impact on the gut microbiome in type 1 diabetes mellitus revealed by integrated multi-omic analyses. Microbiome. doi:10.1186/s40168-022-01435-4 Peer Reviewed verified by ORBi |
Teixeira Queiros, P. (2022). Development of data integration tools within functional genomics [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/50775 |
Hickl, O., Teixeira Queiros, P., Wilmes, P., May, P., & Heintz-Buschart, A. (2021). binny: an automated binning algorithm to recover high-quality genomes from complex metagenomic datasets 2021.12.22.473795. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/50004. doi:10.1101/2021.12.22.473795 |
Martinez Arbas, S., Busi, S. B., Teixeira Queirós, P., de Nies, L., Herold, M., May, P., Wilmes, P., Muller, E., & Narayanasamy, S. (2021). Challenges, Strategies, and Perspectives for Reference-Independent Longitudinal Multi-Omic Microbiome Studies. Frontiers in Genetics. doi:10.3389/fgene.2021.666244 Peer Reviewed verified by ORBi |
Teixeira Queiros, P., Delogu, F., Hickl, O., May, P., & Wilmes, P. (June 2021). Mantis: flexible and consensus-driven genome annotation. GigaScience, 10 (6). doi:10.1093/gigascience/giab042 Peer Reviewed verified by ORBi |
Teixeira Queiros, P., Novikova, P., Wilmes, P., & May, P. (2021). Unification of functional annotation descriptions using text mining. Biological Chemistry. doi:10.1515/hsz-2021-0125 Peer Reviewed verified by ORBi |
Van Den Bossche, T., Kunath, B., Schallert, K., Schäpe, S. S., Abraham, P. E., Armengaud, J., Arntzen, M. Ø., Bassignani, A., Benndorf, D., Fuchs, S., Giannone, R. J., Griffin, T. J., Hagen, L. H., Halder, R., Henry, C., Hettich, R. L., Heyer, R., Jagtap, P., Jehmlich, N., ... Muth, T. (2021). Critical Assessment of MetaProteome Investigation (CAMPI): a multi-laboratory comparison of established workflows. Nature Communications, 12 (1), 7305. doi:10.1038/s41467-021-27542-8 Peer Reviewed verified by ORBi |