Cargando…
“Notame”: Workflow for Non-Targeted LC–MS Metabolic Profiling
Metabolomics analysis generates vast arrays of data, necessitating comprehensive workflows involving expertise in analytics, biochemistry and bioinformatics in order to provide coherent and high-quality data that enable discovery of robust and biologically significant metabolic findings. In this pro...
Autores principales: | Klåvus, Anton, Kokla, Marietta, Noerman, Stefania, Koistinen, Ville M., Tuomainen, Marjo, Zarei, Iman, Meuronen, Topi, Häkkinen, Merja R., Rummukainen, Soile, Farizah Babu, Ambrin, Sallinen, Taisa, Kärkkäinen, Olli, Paananen, Jussi, Broadhurst, David, Brunius, Carl, Hanhineva, Kati |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7240970/ https://www.ncbi.nlm.nih.gov/pubmed/32244411 http://dx.doi.org/10.3390/metabo10040135 |
Ejemplares similares
-
Tissue-wide metabolomics reveals wide impact of gut microbiota on mice metabolite composition
por: Zarei, Iman, et al.
Publicado: (2022) -
Identification and Distribution of Sterols, Bile Acids, and Acylcarnitines by LC–MS/MS in Humans, Mice, and Pigs—A Qualitative Analysis
por: Babu, Ambrin Farizah, et al.
Publicado: (2022) -
Effects of exercise on NAFLD using non-targeted metabolomics in adipose tissue, plasma, urine, and stool
por: Babu, Ambrin Farizah, et al.
Publicado: (2022) -
Random forest-based imputation outperforms other methods for imputing LC-MS metabolomics data: a comparative study
por: Kokla, Marietta, et al.
Publicado: (2019) -
FADS1 rs174550 genotype and high linoleic acid diet modify plasma PUFA phospholipids in a dietary intervention study
por: Meuronen, Topi, et al.
Publicado: (2021)