MTBLS422 {phoenics}R Documentation

Dataset "MTBLS422"

Description

Metabolites quantifications, associated metabolic pathways and experimental design to characterize the effects of two clinically important antibiotic treatments, ciprofloxacin and vancomycin-imipenem on mice.

Format

3 datasets are provided:

Details

The raw dataset have been made available on MetaboLights (with the id MTBLS422 https://www.ebi.ac.uk/metabolights/editor/MTBLS422) by [Choo et al., 2017]. Metabolites quantifications were obtained based on the raw signal using ASICS package. Pathways were obtained using KEGGREST package. The datasets provided for the example are a subset of the original dataset.

References

Choo J. M., Kanno T., Zain N. M. M., Leong L. E. X., Abell G. C. J., Keeble J. E., Bruce K. D., Mason A. J., Rogers G. B. (2017). Divergent relationships between fecal microbiota and metabolome following distinct antibiotic-induced disruptions. mSphere, 2(1) doi:10.1128/msphere.00005-17

Lefort G., Liaubet L., Canlet C., Tardivel P., P\'ere M.C., Quesnel H., Paris A., Iannuccelli N., Vialaneix N. Servien R. (2019). ASICS: an R package for a whole analysis workflow of 1D 1H NMR spectra. Bioinformatics, 35(21): 4356–4363. doi:10.1093/bioinformatics/btz248

Tardivel P., Canlet C., Lefort G., Tremblay-Franco M., Debrauwer L., Concordet D., Servien R. (2017). ASICS: an automatic method for identification and quantification of metabolites in complex 1D 1H NMR spectra. Metabolomics, 13(10): 109. doi:10.1007/s11306-017-1244-5

Tenenbaum D., Maintainer B. (2022). KEGGREST: Client-side REST access to the Kyoto Encyclopedia of Genes and Genomes (KEGG). R package version 1.38.0.

Examples

data(MTBLS422)

design[1:5, ]
pathways[1:5, ]
quantif[1:5, 1:5]



[Package phoenics version 0.3 Index]