We've updated our Privacy Policy to make it clearer how we use your personal data.
We use cookies to provide you with a better experience, read our Cookie Policy
EP22266
Abstract: A GC/MS or LC/MS workflow for Metabolomics applications includes a number of distinct steps: experimental design, sampling, sample preparation, data acquisition, data processing, deconvolution, identification and data interpretation.
The MsXelerator software includes Quality Control procedures and Analysis of Variance (ANOVA) to properly control each step in this workflow and to obtain reliable results for both quantitation and identification. Summary: A GC/MS or LC/MS workflow for Metabolomics applications includes a number of distinct steps: experimental design, sampling, sample preparation, data acquisition, data processing, deconvolution, identification and data interpretation.
The MsXelerator software includes Quality Control procedures and Analysis of Variance (ANOVA) to properly control each step in this workflow and to obtain reliable results for both quantitation and identification.
The MsXelerator software includes Quality Control procedures and Analysis of Variance (ANOVA) to properly control each step in this workflow and to obtain reliable results for both quantitation and identification. Summary: A GC/MS or LC/MS workflow for Metabolomics applications includes a number of distinct steps: experimental design, sampling, sample preparation, data acquisition, data processing, deconvolution, identification and data interpretation.
The MsXelerator software includes Quality Control procedures and Analysis of Variance (ANOVA) to properly control each step in this workflow and to obtain reliable results for both quantitation and identification.
Ask the author a question about this poster.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Related Posters
Detection of Organic Components in Atmospheric Aerosols
Tylor
4D Lipidomics workflow utilizing PASEF acquisition mode for increased throughput
Florian Zubeil 1 , Ansgar Korf 1 , Viola Jeck 1 , Aiko Barsch 1 , Nikolas Kessler 1 , Sven W. Meyer 1
Non-targeted metabolomics ID workflows providing custom annotation confidence reporting: CCS-enabled annotation workflows
Aiko Barsch1; Matthias Szesny1; Ulrike Schweiger-Hufnagel1; Sofie Weinkouff1, Nikolas Kessler1
Improved sensitivity and higher lipid annotation ID capabilities using a new vacuum insulated heated ESI source
Matthias Szesny, Lucy Woods, Sven Meyer, Ansgar Korf, Nikolas Kessler, Aiko Barsch
Metabolomics Core Facility provides ready to use data exploration with MetaboScape
Jörg Büscher 1 , Sofie Weinkouff 2 , Ansgar Korf 2 , Aiko Barsch 2 , Nikolas Kessler 2
