Search results
Results: 5
Number of items: 5
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Abegaz, F., Abedini, D., White, F., Guerrieri, A., Zancarini, A., Dong, L., Westerhuis, J. A., van Eeuwijk, F., Bouwmeester, H., & Smilde, A. K. (2024). A strategy for differential abundance analysis of sparse microbiome data with group-wise structured zeros. Scientific Reports, 14, Article 12433. https://doi.org/10.1038/s41598-024-62437-w -
Kim, B., Westerhuis, J. A., Smilde, A. K., Floková, K., Suleiman, A. K. A., Kuramae, E. E., Bouwmeester, H. J., & Zancarini, A. (2022). Effect of strigolactones on recruitment of the rice root-associated microbiome. FEMS Microbiology Ecology, 98(2), Article fiac010. https://doi.org/10.1093/femsec/fiac010 -
Kim, B., Westerhuis, J. A., Smilde, A. K., Floková, K., Suleiman, A. K. A., Kuramae, E., Zancarini, A., & Bouwmeester, H. (2021, March 15). 16S and ITS sequencing data from rice plants [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4604914
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Zancarini, A., Westerhuis, J. A., Smilde, A. K., & Bouwmeester, H. J. (2021). Integration of omics data to unravel root microbiome recruitment. Current Opinion in Biotechnology, 70, 255-261. https://doi.org/10.1016/j.copbio.2021.06.016 -
Guinot, F., Szafranski, M., Chiquet, J., Zancarini, A., Le Signor, C., Mougel, C., & Ambroise, C. (2020). Fast computation of genome-metagenome interaction effects. Algorithms for Molecular Biology, 15, Article 13. https://doi.org/10.1186/s13015-020-00173-2
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