Background Metabolomics is a systems approach to the analysis of cellular processes through small-molecule metabolite profiling. Standardisation of sample handling and acquisition approaches has contributed to reproducibility. However, the development of robust methods for the analysis of metabolomic data is a work-in-progress. The tools that do exist are often not …
Pathomx is a workflow-based data analysis tool built on IPython. It began as a metabolomic-analysis toolkit, but has extended to support general data analysis workflows. It aims to be simple to use for non-experts while powerful enough for complex analysis tasks. Key to both of these goals is the ability …
This short demo shows analysis of a publically available GEO dataset using Pathomx, with a workflow build using the new visual editor (available in the next release).
You can download the example dataset from here.
Pathomx is an open-source workflow-based scientific analysis application. Source code is available here with packaged …
Short demo of an experimental analysis of metabolomic (NMR) data using Pathomx. Metabolomic test dataset produced from THP-1 cells grown under normal and hypoxic conditions. Spectra (2D 1H JRES) have been pre-processed and quantified using the BML-NMR service.
The video shows an example analysis from processed data through to metabolic …
Pathomx is a unique workflow-based analysis tool that provides complete analytical control while maximising usability.
Construct complex analysis workflows including multivariate, univariate and pathway-mining approaches from a simple drag-drop interface.
Configure tools and immediately see the result reflected downstream. Prototype scripts and share or export the result for others to …